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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.About the role As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.In this role you willLead and grow a team of FDE delivering production systems with frontier models.Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.Use judgement to distinguish what requires action and what does not.Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.Define how we staff and support field teams that can scale without added complexity.You might thrive in this role if youBring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.Have led high-pressure technical projects from prototype to production.Write and review production-grade code across frontend and backend using Javascript or Python.Simplify complex work and make fast, sound decisions under pressure.Elevate team performance through clarity, not process.Operate with urgency in ambiguous or evolving environments.Translate field experience into sharp, actionable feedback for Product and Research.Build deep trust with your team by modeling calm, focus, and judgment when it matters most.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Resolve AISoftware maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. What You'll DoBuild simulation environments where AI agents can be trained and evaluated on realistic SRE work: debugging, incident response, infra changes, on-call grind.Work directly with Research Scientists and domain experts to translate real SRE scenarios into reproducible, graded environments that are actually hard.Own the architecture and implementation of large subsystems, from early design through long-term evolution. Infra, tooling, data pipelines, scoring, whatever the job needs.Design, build, and scale the backend services and APIs that generate, run, and score scenarios in high-concurrency environments.Bake reliability, scalability, and performance into every layer of the system, especially where it's distributed.Close the loop fast. Ship a rough version, watch it run, find where it breaks, refine.Dig into the weeds on realism. The environments should reflect how production actually fails, not a sanitized version of it.Use AI tools aggressively across the stack, from code gen to scenario generation to debugging, to move faster than you could alone.What We're Looking ForStrong backend engineer with real experience building and deploying scalable, high-performance services in high-concurrency production environments.Experience with cloud platforms (especially AWS) and Kubernetes, and a solid grasp of databases and messaging systems for cloud-native applications.Bias for action. You close the loop quickly to get an initial version in front of people, then refine from there.Not afraid to get in the weeds. You like digging into technical problems, getting your hands dirty, staring at data, and debugging.You use AI tools to amplify what you can build, and you're eager to go deeper on LLM-powered systems.Bonus: prior SRE, on-call, or incident response experience.Bonus: familiarity with observability and other developer-facing tool internals.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Comprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Staff Software Engineer to join our Builders team in Sydney. This team is responsible for the core builder experience on the Relevance AI platform, specifically our agent builder, tool builder, and workforce builder functionalities. Focusing on making the platform better for most of our customers building agents and automation workflows.You will drive deep technical leadership and execution across the Builders team, partnering closely with product, engineering, and go-to-market teams to deliver robust enterprise-grade capabilities and back-end systems. This is a high-visibility role where you’ll have significant autonomy to design complex systems, shape architecture across teams, and see your impact reflected in real customer outcomes.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power AI agent and workflow builders.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: React, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), Terraform(This is a back-end-focused role. Frontend experience is helpful but not required; strong back-end and systems experience is what matters most.)What We’re Looking For 🧠6+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Evidence of operating at Senior+ scope - driving architecture, mentoring teams, and influencing across multiple squads or projects.Deep technical proficiency in modern web technologies, ideally TypeScript, Node.js, and cloud infrastructure (AWS preferred).Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for Senior Back-End Software Engineers to join our Chat team in Sydney. This team owns one of Relevance AI’s newest and fastest-growing products: Chat, the conversational layer of our platform. Chat enables users to interact with pre-built AI agents, workplace productivity tools, and research workflows - all through a highly reliable, scalable back-end that powers real-time, agentic experiences.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: React, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: PostgreSQL, MongoDBCloud Infrastructure: AWS, Vercel, TerraformAI Coding Tools: Claude Code, Cursor, Codex and more(This is a back-end-focused role. Frontend experience is helpful but not required; strong back-end and systems experience is what matters most)What We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐ Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure. Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Senior Back-End Software Engineer to join our Builders team in Sydney. This team is responsible for the core builder experience on the Relevance AI platform, specifically our agent builder, tool builder, and workforce builder functionalities. Focusing on making the platform better for most of our customers building agents and automation workflows.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power AI agent and workflow builders.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: React, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: PostgreSQL, MongoDBCloud Infrastructure: AWS, Vercel, TerraformAI Coding Tools: Claude Code, Cursor, Codex and more(This is a back-end-focused role. Experience in frontend frameworks is optional; the priority is robust back-end systems and scalable architecture.)What We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Experience designing and operating APIs (REST or GraphQL) and distributed systems.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐ Experience building ecosystems and native integrations.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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  About the Company Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.    With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.    Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.      About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 14 paid company holidays per year #LI-SM2 #LI-Onsite   Compensation$154,560—$193,200 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Data Scientist (Algorithm Engineer) in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With industry experience (post Masters of PhD) in a commercial, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleBackend engineering at Sesame is a domain rich with challenging technical problems: real-time streaming audio pipelines, resilient and low-latency networking, complex machine learning inference, scalable agentic workflows, and more. Our work ranges from systems programming to thorny distributed systems design to cutting-edge applied AI. At the centre of all of this: how should we think about quality, craft, security, and reliability engineering when the system under test is a human-like personality? On the backend engineering team, your job is to tackle challenges like these directly, all while providing a reliable, secure, high quality consumer experience for a growing base of users.ResponsibilitiesDesign and build the backend systems and services that power Sesame's product. You own the data models, the APIs, and the distributed systems that everything else depends onWrite software that's built to last. You're not prototyping; you're solving hard problems that require careful thinking about scalability, reliability, and correctnessBuild and evolve the frameworks and libraries that other engineers build on. You care about good software design and it shows in the interfaces you createOwn the full lifecycle of your services: schema design, implementation, deployment, performance tuning, and on-callWork across the data layer, choosing and operating the right stores for the job: relational databases, NoSQL, queues, caches, search indexesIdentify performance bottlenecks and fix them. Think about cost, throughput, and latency as first-class concernsOwn the architecture of systems where ML models are a critical component but not the whole story. Real-time audio pipelines, agentic orchestration, stateful conversation systems — these are complex, ML-driven machines that require careful architectureSpot opportunities to improve developer efficiency within your area. You might prototype a tool or workflow improvement, then hand it off to the infra team to productionizeRequired QualificationsYou're a strong programmer first. You're expert-level in at least one language and you write clean, well-designed code that other engineers can build onSolid distributed systems fundamentals. You can think through system models, failure modes, consistency tradeoffs, and scaling strategies independentlyYou've designed and built systems that handle real scale. Caching layers, sharded data stores, async processing pipelines, shared-nothing service architectures — you've worked with these patterns in production environments, not just theoreticallyStrong database engineering skills. You've built complex schemas, tuned queries, and made hard choices about data modeling across relational and non-relational storesComfortable with protocols and networking at the application level: REST, WebSockets, gRPC, HTTP semantics. You understand how services talk to each other and you make good choices about itYou deploy and run services on Kubernetes. You're self-sufficient here, but you're not the person setting up the clusterProven reliability engineering instincts. You've been on challenging on-call rotations and you came out of them with ideas for how to make things betterYou have a genuine deep interest in some area of software. Maybe it's software design, CRDTs, real-time systems, database internals, or something else entirely. You go deeper than the job requires because you want toPreferred QualificationsWe'd love to hear about experience in any of these areas — but we don't expect any one person to have all of them:Hands-on experience in one or more of these domains:Payments — billing systems, transaction processing, ledgers, financial data integritySearch and relevance — building and tuning search infrastructure, ranking, indexing pipelinesReal-time media — streaming, low-latency audio/video, real-time communication systemsDeep Python expertise. You know how to write Python that's maintainable, performant, and scalableExperience building on GCPSesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.Full-time Employee Benefits: 401 (k) max employer match: 3.5% of compensation100% employer-paid health, vision, and dental benefits for you and your dependentsUnlimited PTO and sick timeFlexible spending account with employer matching up to $1,650/year (medical FSA)Guardian Employee Assistance Program (EAP)Opportunity to share in the company's success with competitive stock optionsBenefits do not apply to contingent/contract workers.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities.  This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.   What we need Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes. Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly. Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR. Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.   What you will learn How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows. New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits. Best practices for deploying, validating, and monitoring ML models in production CAD environments. How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities.  This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.   What we need Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes. Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly. Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR. Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.   What you will learn How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows. New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits. Best practices for deploying, validating, and monitoring ML models in production CAD environments. How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About the roleMatilda is Australia's LLM. What ends up in the corpus is what the model learns, so the quality of the data sets the ceiling on the quality of the model.We're hiring a Signal Engineer to own that ceiling. You will build the pipelines that turn massive, messy, raw data into the dataset Matilda trains on. The work is part engineering, part editorial judgment, done in code.A lot of the real gains in frontier models come from the data, and most of that work is underinvested in across the field. It is one of the highest-leverage places you can spend your time as an engineer. What you'll work on- Pipelines that ingest, clean, dedupe, filter, and score training data at TB to PB scale- Quality classifiers and heuristics that separate useful data from the rest- Dataset mixture design and experiments on what actually improves the model- Tools to explore, sample, and audit what's in the corpus- Close work with researchers and training engineers so data choices connect to model behaviourWhat we're looking for- Strong engineer. Python, data tooling, distributed processing, clean pipelines.- High attention to detail. Small errors compound fast at this scale.- Taste and judgment about what good training data looks like.- Comfort working with very large, very messy datasets.- Curiosity about how data shapes model behaviour.- High learning velocity. You don't need a PhD or prior LLM experience.Nice to have- Experience with web-scale corpora or pretraining data pipelines- Experience working with unstructured text data- Familiarity with distributed data frameworks (Spark, Ray, or similar)- Exposure to deduplication, quality classification, or tokenisationNoteFull-time role based in Melbourne, working closely with our in-person team. At this time we are not able to offer visa sponsorship, so applicants must have existing and unrestricted work rights in Australia.

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About the roleMatilda's success depends on distribution. We're hiring a Distribution Engineer to own it. You will design and operate AI-driven systems that generate, test, and scale how Matilda reaches users.This is how we already work across Maincode. We build systems in research, engineering, and operations that compound without manual intervention. Distribution is the next part of that.One person with the right systems can outperform an entire team. You will build that system for distribution. What you'll build- AI agent pipelines that generate, test, and optimise ads, content, and messaging at scale- Growth systems across paid, organic, and owned channels- Experimentation frameworks that keep improving performance across the funnel- Real-time feedback loops wired into data sources and APIs for decision making- A compounding distribution engine that improves without manual interventionWhat we're looking for- Experience in growth, performance marketing, or GTM systems- Background in experimentation and data analysis- Builder mindset. Coding, automation, systems design.- Fluency with LLMs, APIs, and agent workflows- Thinks in systems and infrastructure- Solid intuition for messaging, user behaviour, and conversion- Comfortable across technical and commercial work- Ships fast, learns fasterNoteFull-time role based in Melbourne, working closely with our in-person team. At this time we are not able to offer visa sponsorship, so applicants must have existing and unrestricted work rights in Australia.

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ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.THE ROLE:Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build". You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries.This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI.EXAMPLE INITIATIVES:The world's fastest Whisper — with streaming and diarizationCanopy Labs selects Baseten for Orpheus TTS inferenceCollaborate with the Core Product team on the orchestration framework to build a multi-model voice agentCollaborate with the Training Platform team to enable continuous training of voice modelsDesign an ergonomic, developer-friendly API and SDK that enables self-serve adoption of Baseten Voice AI products.RESPONSIBILITIES:Own and lead Voice AI product areas end-to-end — from architecture and system design through implementation, rollout, and long-term production operations.Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs for mission-critical customer deployments.Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating end-to-end delivery across the product surface area.Mentor teammates through code reviews, design docs, and technical leadership.REQUIREMENTS:Bachelor's degree or higher in Computer Science or related fieldProven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.Good taste in product, particularly developer-oriented toolsInterest in ML/AI infrastructure and willingness to learnStrong collaboration and communication skillsComfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill.NICE TO HAVE:Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements.Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products.Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX).Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issuesExposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. About the job The Applied AI for Critical and Sovereign Institutions team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. What you will do • Individually deploy AI solutions into production for use cases with significant operational and strategic impact. • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers. • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning. • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders. • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance. How we work in Applied AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. About you • Fluent in English. • PhD or Master's in AI, Machine Learning, Computer Science, or related field. • 2+ years of experience in AI/ML • Proven track record of leading teams to deliver complex AI projects from prototyping to production. • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. • Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus. • Strong software engineering skills: API design, backend/full-stack development, system architecture. • Excels in technical communication with technical and non-technical audiences, including executives. • Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent. It would be great if you • Have experience with React or other frontend frameworks. • Have experience with Deep Learning in PyTorch • Contributed to open-source projects in the LLM or AI space. • Have experience in customer-facing roles with a focus on enterprise AI adoption. Security & Compliance criteria • Eligibility: must hold citizenship in the target territory (France for now). • Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations). Benefits 💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gympass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕️ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship The personal data you submit as part of your application will be processed in accordance with Mistral AI's Applicant Privacy Policy.

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenueAbout the RoleWe’re hiring an Associate Software Engineer to help build our Reinforcement Learning Environments (RLE) platform—the systems where frontier AI models learn to complete real-world work.This is a hands-on, growth-oriented role where you’ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure.Location: San Francisco, CA (in-office, 5 days/week)What You’ll DoContribute to building RLE environments and supporting infrastructureImplement features across backend systems and frontend interfacesWork with senior engineers to improve system reliability and performanceHelp build modular workflow domains (e.g., engineering, finance, legal)Support data pipelines that power model training and evaluationWhat We’re Looking For0–2 years of experience (internships or full-time) in software engineeringFamiliarity with backend development and APIsWorking knowledge of ReactJS and TypeScriptUnderstanding of databases (e.g., PostgreSQL) and basic system designEagerness to learn and operate in fast-paced environmentsNice to HaveExposure to cloud platforms (AWS, GCP)Experience with data pipelines or ML-adjacent systemsInterest in AI/ML or simulation systemsWhat Success Looks LikeShips reliable features that improve RLE functionalityGrows into owning small components independentlyContributes to faster iteration and better developer velocityPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coachin 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Office: Commuting support, free lunch, and gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days🤝 Connection: Team outings & referral bonuses

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenueAbout the RoleWe’re hiring a Staff Software Engineer to lead the architecture and evolution of our Reinforcement Learning Environments (RLE) platform—the systems that define how frontier AI models learn real-world work.This is a high-impact, technical leadership role responsible for system design, cross-team alignment, and setting the long-term technical direction of RLE.Location: San Francisco, CA (in-office, 5 days/week)What You’ll DoDefine and drive architecture for scalable, extensible RLE systems and data pipelinesLead development of platform capabilities enabling rapid domain creationPartner with Research, Product, and Ops to shape strategy and executionSet standards for reliability, observability, performance, and data qualityMentor engineers and elevate engineering excellence across the teamIdentify and solve systemic bottlenecks in scaling environments and data generationWhat We’re Looking For8+ years of experience in distributed systems, backend infrastructure, or ML platformsDeep expertise in system design, data modeling, and scalable architecturesStrong proficiency with TypeScript, backend systems, and modern web stacksProven experience operating high-scale production systems in cloud environmentsTrack record of technical leadership and cross-functional influenceNice to HaveExperience with RL infrastructure, simulation systems, or evaluation frameworksBackground supporting applied AI/ML research teamsExperience building platform-level abstractions used across multiple teamsWhat Success Looks LikeRLE becomes a foundational, trusted platform across teams and use casesNew domains scale rapidly with minimal engineering overheadSystems demonstrate step-function improvements in model quality and reliabilityEngineering velocity and system robustness increase across the organizationPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Office: Commuting support, free lunch, and gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days🤝 Connection: Team outings & referral bonuses

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenueAbout the RoleWe’re hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.Location: San Francisco, CA (in-office, 5 days/week)What You’ll DoBuild and scale core components of RLE environments and infrastructureDesign and implement backend systems and data pipelinesTranslate ambiguous product and research needs into production systemsDevelop modular, reusable workflow domainsImprove reliability, observability, and system performanceWhat We’re Looking For2–4 years of experience in backend, distributed systems, or ML-adjacent infrastructureStrong proficiency in ReactJS and TypeScriptSolid experience with relational databases (PostgreSQL) and data modelingExperience with cloud infrastructure (AWS/GCP) and CI/CDAbility to independently drive projects from design to productionNice to HaveExperience with simulation systems or evaluation platformsExposure to ML systems or working with research teamsExperience in fast-moving, operations-heavy environmentsWhat Success Looks LikeOwns and delivers key RLE components end-to-endImproves system scalability and developer velocityEnables faster launch of new domains with high-quality dataPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Office: Commuting support, free lunch, and gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days🤝 Connection: Team outings & referral bonuses

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.About the roleThe Anti-Abuse team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.In this role you will…Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactionsBuild AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisionsBuild and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actionsDesign automated response mechanisms that enforce platform policies without manual interventionOwn the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and LegalAnalyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rulesMaintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activityIntegrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAsTrack abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolveRequired skills and experience:8+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detectionStrong programming skills in Python and/or TypeScript for building detection systems and automationExperience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detectionFamiliarity with prompt injection, jailbreaking, and other LLM-specific attack vectorsAbility to investigate complex abuse patterns and translate findings into automated defensesFamiliarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuseClear communication skills for working across Security, Support, Legal, and Engineering teams.Nice to have:Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)Background in fraud detection, payment abuse, or financial crimeFamiliarity with device fingerprinting, IP reputation, and email validation servicesExperience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systemsTools + Tech Stack for this roleLanguages: Python, TypeScript, Go, SQLData: BigQuery, HexDetection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)CI/CD Security: Dependabot, Snyk, SAST/SCA scannersInfrastructure: GCP, KubernetesCollaboration: Linear, Slack, Zendesk (for abuse reports)This role may not be a fit ifYou prefer deep security research over building operational detection systemsYou want to focus on vulnerability management, pentesting, or bug bounty triage (that's our Security team)You're looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behaviorYou prefer working in isolation rather than partnering closely with Support, Legal, and cross-functional teamsYou're uncomfortable making enforcement decisions that affect real usersThis is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program with a 4% match⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonomous Work Environment🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.About the roleWe are seeking a visionary Computer Vision (CV) Specialist to lead our most ambitious AI initiatives within the defence sector. Bridging the gap between cutting-edge research and real-world deployment, you will act as a primary technical authority, architecting sophisticated CV systems that solve critical customer challenges. This is an entrepreneurial opportunity to shape our technical strategy, drive capability development, and represent the business unit as a thought leader. If you thrive on autonomy and want to push the boundaries of applying State-of-the-Art (SOTA) technology, this role offers the platform to make a definitive impact.What you'll be doing:• Delivering high impact, hands-on computer vision work and architecting technical solutions for complex project requirements.• Leading the technical delivery of CV projects and providing expert guidance to multidisciplinary teams throughout the development lifecycle.• Winning new business by contributing expert CV insight to bids and identifying opportunities to integrate advanced visual intelligence into customer solutions.• Staying at the forefront of the field by mastering SOTA developments and sharing best practices across the business unit to maintain a competitive edge.• Representing the organisation both internally and externally as an authoritative voice and subject matter expert in computer vision.• Partnering with leadership to define the technical strategy for CV work and taking ownership of capability development within the Defence domain.• Mentoring and developing talented team members who share an interest in CV, fostering an environment of continuous learning and technical excellence.Who we're looking for:You possess a deep understanding of State-of-the-Art Computer VisionAI approaches and feel confident applying both machine learning and classical computer vision techniques to real-world problems.You are an experienced technical leader who enjoys the challenge of guiding teams and turning real world problems into architecting system architectures with minimal oversight.You have a proven track record of deploying CV models into production environments and navigating the practicalities of real-world deployment, performance and latency. You bring a collaborative and entrepreneurial mindset, with the ability to communicate technical concepts effectively to both specialist colleagues and non-technical clients. Your background includes meaningful experience in Python, including object-oriented programming, and you are comfortable exploring low-level components when necessary.You are passionate about capability building, whether through developing R&D accelerators or helping others sharpen their technical skills through mentorship.The Interview ProcessTalent Team Screen (30 minutes)Introduction to the team (30 minutes)Technical Interview (90 minutes) Commercial Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.About the TeamRead more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.About the RoleAs a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system.We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.In this role, you willLead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completionBuild and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experiencePartner with platform and product engineers to integrate new models into production systemsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this5+ years of experience in AI/ML engineering or research.Prior experience post-training and deploying LLMs in production environments.Fluency in Python and modern ML tooling (training, evaluation, data pipelines)Track record of taking research ideas from prototype → reliable, measurable production impactCompensation$300K – $400K + Offers EquityBenefitsWe proudly offer the following benefits for our full-time employees:Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)Medical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension)Parental LeaveFertility and family building benefits through CarrotDaily lunches and snacks in the office to keep you at your bestThese benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.