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Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.  Requirements 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) 5+ years experience writing high-performance, well-tested, production quality code Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN Experience with Cluster API or similar a big plus Experience working on high-performance compute, networking, and/or storage a big plus Experience virtualizing GPUs and/or Infiniband a big plus Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Experience building IaaS or PaaS systems at scale a plus Experience with DPUs/SmartNICs a plus GPU programming, NCCL, CUDA knowledge a plus  Responsibilities Perform architecture and research work for decentralized AI workloads Work on the core, open-source Together AI platform Create services, tools, and developer documentation Create testing frameworks for robustness and fault-tolerance   About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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About the TeamThe Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.About the RoleOn the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.In this role, you will:Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms.Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware. Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.You might thrive in this role if you have:3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-designHands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phasesInterest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 the Role Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers. If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you. Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi Proficiency in version control practices and integrating IaC with CI/CD pipelines. Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Experience with Kubernetes, or containers a plus Responsibilities Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily Analyze and improve the robustness and scalability of existing data processing infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Product Manager at Harmattan AI, you will be at the heart of company strategy, as you will be in charge of product specification and roadmap based on market and technological analysis, as well as full scale development and industrialization of the product. You will be responsible for managing timelines, resources, and cross-functional collaboration to ensure market fit and successful delivery.ResponsibilitiesProduct Definition: Define product specification based on customer feedback, market analysis and technology; iterate and validate for technical, industrial and commercial feasibility.Project Management: Develop, maintain, and update project timelines, ensuring all deadlines are met during the whole lifecycle of the product.Technical Coordination: Oversee the architecture and the technical development of the system across R&D and industrialization phases, resolving challenges as they arise.Team Leadership: Inspire and manage the project team to maintain a high level of performance and quality.Cross-functional Collaboration: Act as the key interface between technical teams, the product team, and other stakeholders (especially customers, sales, marketing and program) to align efforts and ensure tenders and projects success.Resource Allocation: Manage the allocation of engineering and other resources to meet project goals effectively.Candidate RequirementsMaster’s degree or PhD in Electrical Engineering, Computer Science, or a related field, with at least 5 years of experience in technical roles.Experience and ecosystem knowledge in one of the following field is highly desirable: defense systems, UAV/UxV/robotics, aerospace, radars/RF/radio, optronics, PNT, AI, or related industries.Customer and product-oriented.Proven experience managing cross-functional, high-complexity aerospace, defense or robotics projects that have reached industrialization.Strong technical background with the ability to understand and resolve complex engineering challenges.Detail-oriented with excellent documentation and organizational skills.Strong communication and leadership skills, with the ability to motivate and guide teams toward success.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role:   Glean is looking for Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system that makes all the relevant enterprise knowledge readily available to employees in all contexts of their work. The role provides ample opportunities to work on various aspects of building a modern cloud-native application stack using the latest best practices  - examples of some technical challenges you can work on are building a scalable, reliable distributed system and underlying storage, a unified application framework and data model that makes it easy to index diverse sources of information, end-to-end aspects of security - application layer, platform layer as well as IT security, laser focus on making the experience feel instant, while at the same time balancing the system cost implications, and tooling for comprehensive monitoring and deployment of the system in multiple cloud environments.   You will: Own impactful infrastructure problems from inception and architecture to production launch Write well thought out design documents and robust, high-quality and well-tested code Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap Mentor more junior engineers or learn from battle tested ones You are: 3+ years of experience BA/BS in computer science, or related degree Experience working on infrastructure for distributed systems or cloud-native applications Key knowledge and skills Thrive in a customer-focused, tight-nit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Strong coding skills (for example in Go/Python/Java/C++ etc) with an emphasis on designing for reliability and scale, and writing well-tested components Familiarity with cloud native development practices in GCP/AWS/Azure is a plus Location:  This role is hybrid (3 days a week in either San Francisco or Palo Alto) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About the TeamThe Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.We craft inspiring demos, powerful developer tools, sample projects, and engaging content to show how to build great applications with our frontier models such as OpenAI o3 and GPT-4.1, multimodal capabilities, and agents like Codex.We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey—from initial API call to full production deployment—is seamless, effective, and delightful.About the RoleAs a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with OpenAI’s APIs, platform, and products for developers.You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex.We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will:Develop demos and sample applications demonstrating cutting-edge integrations and best practices using reasoning models, multimodal capabilities, and agent tools.Create high-quality technical content—including tutorials, blog posts, videos, and code samples—to educate and inspire the developer community about our models, APIs, and Codex.Actively engage with and foster a vibrant local and global developer ecosystem around OpenAI’s platform.Represent OpenAI at developer events and online platforms, serving as a knowledgeable, approachable advocate for developers.Gather and synthesize developer feedback to inform and enhance our product roadmap.Collaborate cross-functionally with product, engineering, and marketing teams to ensure adoption and success of OpenAI’s developer tools and APIs.Contribute directly to improving and refining OpenAI’s developer interfaces and surfaces.Own challenges end-to-end, proactively addressing gaps and acquiring new skills to resolve complex issues. You might thrive in this role if you:Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects.Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs).Have strong user empathy and care deeply about delivering experiences developers truly appreciate.Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption.Find joy in coding, continuously shipping high-quality, impactful software.Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines.Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams.Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.At Harmattan AI, we design and deploy advanced AI-powered systems for defense. Our work sits at the intersection of cutting-edge technology and national security, fast-moving, high-stakes, and deeply mission-driven.We hire selectively and work with urgency, precision, and a commitment to solving problems that matter. If you're exceptional in your field and driven by building real-world impact, we want to hear from you.Even if no listed role matches your profile, we welcome proactive applications from individuals who thrive in high-responsibility environments and bring deep expertise in areas such as:Aerospace & Robotics – GNC, autonomy, flight software, mission planningEmbedded Systems & Hardware – FPGA, real-time systems, electronicsSoftware & AI – machine learning, perception, signal processingBusiness, Strategy & Operations – program execution, partnerships, international expansionWhat we’re looking forWe value individuals who:Set a high personal bar for quality and technical excellenceTake ownership and move fast under uncertaintyPush boundaries, challenge assumptions, and deliver under pressureAre motivated by complex challenges with meaningful geopolitical stakesWhat to includeA resumeA short message telling us what you’re best at, and how you think you could contribute to our missionWe review all applications thoroughly and will reach out if there’s a potential fit.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of training data, including ingestion, cleaning, filtering, and optimization, as well as data modeling to ensure datasets are structured and formatted for optimal model performance. You will work with diverse data sources—such as web data, code data, multilingual corpora, and synthetic data—to ensure their quality, diversity, and reliability.In this role, you will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.Please Note: We have offices in London, Toronto, San Francisco, New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Machine Learning Engineer (Pre-Training Data), you will:Design and build scalable data pipelines to ingest, clean, filter, and optimize diverse datasets, including web data, code data, multilingual corpora, and synthetic data.Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.You may be a good fit if you have:Strong software engineering skills, with proficiency in Python and experience building data pipelines.Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.Experience working with large-scale datasets, including web data, code data, and multilingual corpora.Knowledge of data quality assessment techniques and experimentation with data mixtures.A passion for bridging research and engineering to solve complex data-related challenges in AI model training.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating external agent engineers to Sierra’s Agent SDK.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Lead the creation and execution of external developer training and enablement programs.Build infrastructure and content that scales — including technical documentation, onboarding paths, and hands-on repositories for SDK adoption.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Experience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges. About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOThis is a hybrid role based out of our Dubai office.

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Stability AI is looking for a Support Engineer that thrives on engaging with customers and solving problems creatively. With a strong customer-first mindset, you're patient and positive in every interaction. Highly organized, you manage multiple priorities with ease and excel in autonomous environments by taking initiative and making confident decisions. You'll engage closely with cross-functional teams and play a critical role in showcasing the value of our offerings to our customers.  What you’ll do... Serve as first point of contact for all technical support communications – primarily via email – to answer questions, provide assistance, troubleshoot issues, and route product feedback appropriately Diagnose and resolve customer issues with products, escalating as needed to ensure timely follow-up and satisfactory resolution Expand your knowledge of our products and technical skills via through both training and practical experience Provide recommendations for continuous product and process improvement On Day 1 we expect you to have... 3+ years customer-facing work experience on both email or live chat channels Experience using Hubspot, Zendesk, JIRA, Salesforce or other similar software Excellent problem solving and analytical skills Proven perseverance when resolving customer requests A passion for learning and sharing knowledge with others Excellent written and verbal communication skill with the ability to convey complex information to technical and non-technical audiences Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. 

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleOur generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Scientist to join our growing US-based Data Science & BI team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data.What You'll DoData Analysis and Insight GenerationExtract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external dataEnsure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production.Investigate and correct issues identified through data operations monitors, tools, and reports.Advanced Data ModelingUser Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development. It is critical for data to drive increased user engagement and retention.A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes. AI model evaluation: Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes.Cross-Functional Leadership and CollaborationCollaboration with Product Teams: Work closely with product managers, designers, and engineers to translate data insights into product priorities.Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics. Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team.What You'll Bring8+ years using Python, R, SQL for analytics5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them.Experience with  data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)Data AdvocateExcellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.A team player, comfortable assisting others across the organization in solving data problems and answering questions with dataAbility to prioritize amidst changing priorities in a fast moving environmentDomain-relevant KnowledgeKnowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plusExperience with common approaches to measure and drive user engagement is a plus Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]    Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.   About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with: Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human-in-the-loop workflows Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements Contributing to open-source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$300,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI.If you see possibility where others see limits, read on. About the RoleYou’ll be one of the first engineers defining the mobile experience for our future‑shaping AI agents. As a Full Stack Mobile Engineer, you’ll design, build, and scale cross‑platform apps—delivering responsive, intuitive interfaces deeply integrated with our AGI backend. Your work will directly shape how millions interact with their AI companion, ensuring smooth user journeys from UI components through API layers and real-time data flows.Key ResponsibilitiesArchitect and implement cross‑platform mobile apps (iOS/Android) using React Native or Flutter, delivering polished, native‑feel experiences. Integrate intelligent agent features—like contextual summarization, proactive suggestions, and natural language interactions—into the mobile UI via real‑time APIs. Build secure, scalable backend endpoints (Node.js/Python) to support mobile data sync, offline-first behavior, and real-time updates. Optimize performance by diagnosing and removing bottlenecks—from render cycles to data throughput. Harness "vibe coding" tools and AI‑augmented workflows to accelerate development velocity and maintain coding quality businessinsider.com. Collaborate closely with designers, AI researchers, and backend engineers through agile processes, including code reviews, pair programming, and sprint planning. Deploy, maintain, and monitor mobile apps in App Store and Play Store, ensuring CI/CD, testing, crash reporting, and analytics are in place. You BringExperience: 3+ years in full‑stack mobile development, with strong expertise in React Native or Flutter. Technical Skills: Proficiency in JavaScript/TypeScript (or Dart), mobile UI frameworks, REST/gRPC APIs, and backend services (Node.js, Python). System Design: Experience building offline-capable mobile apps, managing data sync, authentication, and real-time updates. Performance Mindset: Proven ability to diagnose and resolve UI and data-layer bottlenecks; familiarity with profiling tools. AI Familiarity: Comfort integrating AI modules or agent-powered features on mobile; ability to consume LLM-based APIs seamlessly. Collaboration: A proactive teammate and excellent communicator, comfortable navigating a fast-paced startup environment. Vibe Coding Savvy: Experience using AI-powered developer tools (e.g., Cursor, Bolt, GPT-based coding assistants) to augment your workflowOur Culture🏢 All in, in person. Sparks fly faster face-to-face. 🚀 Ship by default. Novel and polished can coexist—speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win.Our perks🍽 Snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.✈️ Relocation and immigration support.

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About the TeamThe Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals.About the RoleAs a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect, implement and scale core payment infrastructure.Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth.Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems.Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments.Create a seamless user experience for checkout around the world.Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you:Have 5+ years of professional experience in software engineering, ideally with a focus on payments or financial systems at scale.Are familiar with payment processors (e.g., Stripe, Adyen, Braintree) or have built similar internal financial systems, e.g. storing cardholder data, pricing, online commerce, etc.Bring a strong product mindset and a desire to deeply understand product needs and design for long-term flexibility.Thrive in high-growth, ambiguous environments, and can balance fast execution with technical rigor and system reliability.Excellent communication skills, with ability to build consensus among stakeholders both internally and externally.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Legal Engineer- Agent Deployment at Norm Ai, you will occupy a pivotal role at the intersection of law, technology, and client success. Your primary responsibility will be to act as a legal subject matter expert by deeply engaging with clients as they navigate complex compliance and regulatory challenges using the Norm Ai platform. You will guide client onboarding and lifecycle engagement, ensuring clients maximize the platform's value while aligning their business objectives.In this role, you will collaborate closely with internal teams—including Client Engagement, Sales, Legal Engineering and AI Engineering—to ensure seamless client experiences and proactive solutions. You will translate legal, compliance, and business issues into actionable insights, becoming a trusted partner to our clients by surfacing client feedback and identifying opportunities to enhance the platform. You will also leverage our internal tools to further develop automated analysis of regulations.You will need to be comfortable presenting and navigating nuanced discussions on regulatory and compliance topics, and wherever possible, you will seek to go above and beyond to meet their needs and demonstrate the value of Norm Ai. Whether it's preparing insights, conducting in-person, on-site client sessions, or dissecting complex documentation, your work will underscore Norm Ai’s value proposition. You will connect the dots between regulatory landscapes, clients' operational contexts, and Norm Ai’s technology, driving success for both our clients and our company.Beyond client interactions, you will contribute to strategic initiatives, producing thoughtful, metrics-driven materials that help tell Norm Ai’s story and advance its mission.Responsibilities:Drive Client Success: Actively participate in and help lead client onboardings, ensuring a smooth adoption of the Norm Ai platform. Serve as the regulatory and compliance expert in client engagements, providing personalized support and ensuring clients derive maximum value from the platform.Regulatory Expertise and Analysis: Offer sophisticated insights on regulatory and compliance matters, connecting these insights to the platform’s capabilities and the client’s unique needs. Leverage our internal tools to further tailor our automated analysis of regulations to our clients' needs.Strategic Advocacy: Capture, organize, and present feedback that shapes product enhancements and improves client outcomes.Build Client Trust: Cultivate long-term relationships with clients, becoming a trusted advisor by proactively addressing challenges and identifying opportunities to add value.Custom Solutions: Develop tailored solutions, including preparing collateral, reviewing regulatory documents, and providing clients with actionable advice specific to their industry and organizational goals.Proactive Problem-Solving: Identify and resolve potential client issues, coordinating with internal teams to ensure timely and successful outcomes. Resolve any issues in a timely manner, engaging other internal resources as needed. Leave no stone unturned and always strive for excellence.Communications & Presentations: Craft compelling presentations, demos, and legal collateral to communicate complex ideas in an accessible, professional manner.Skills & Experience - CoreJuris Doctor (JD) required, with strong legal acumen and 1-2 years of experience in legal or compliance roles.Significant experience working with legal professionals, compliance officers, or in highly regulated industries (e.g., financial services, insurance).Exceptional communication skills with a proven ability to convey complex legal and regulatory concepts in a client-friendly manner.Demonstrated ability to manage complex client relationships. Highly independent and comfortable operating as an individual contributor.Detail-oriented with strong organizational and project management skills.Willingness to adapt, taking on both leadership and supportive roles as needed.Skills & Experience - PlusesPrior experience in compliance consulting or regulatory advisory roles.Background in AI-powered technologies or legal technology platforms.Experience at a venture-backed company.Familiarity with compliance and regulatory frameworks applicable to financial services or similar sectors.$175,000 - $225,000 a yearPlus equity.We embrace a flexible hybrid model, typically in-office 3–4 days per week.What Success Looks Like30 DaysMaster the Norm Ai platform and client onboarding processes.Gain a strong understanding of the compliance and regulatory frameworks Norm Ai supports.Confidently articulate Norm Ai’s value proposition and deliver client demos.60 DaysIndependently manage client onboarding and provide regular updates.Establish meaningful relationships with clients, understanding their unique legal and compliance needs.Surface actionable feedback to the product team, enhancing platform functionality.90 DaysLead the entire client engagement lifecycle, from onboarding through renewal.Be regarded as a trusted legal and compliance advisor by clients.Drive client renewals and upsells by consistently demonstrating Norm Ai’s value.Navigate complex client discussions with minimal preparation, effectively aligning their needs with Norm Ai’s offerings.

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About Appier Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.   About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale. In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.   What You’ll Do Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows. Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform. Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation. Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability. Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly. Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products. Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more. Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments. Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.   What You Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred). 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale. Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design. In-depth experience with cloud environments (AWS or GCP) and cloud-native service management. Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices. Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops. Familiarity with Git workflows and Linux-based development environments. Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.   What Will Set You Apart Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact. Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives. Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker. Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi. Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving. Familiarity with real-time online inference architectures and batch processing trade-offs. Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together. Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).   Why Join Appier? At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!     #LI-AK1

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