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About the TeamThe Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAI’s products and allows our customers to deploy AI themselves.About the RoleThis role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You’ll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work—from architecture and implementation to production operations and on-call responsibilities.Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability.In this role, you will:Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.Design, build, and maintain secure and compliant systems to process sensitive and valuable data.Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient.Integrate data access and authentication with our production model and agent systems.Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.Own the reliability of the systems you build, including participation in an on-call rotation for critical incidentsYou might thrive in this role if you:Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.Are excited to bring the power of AGI to the infrastructure the world runs on todayAre comfortable with ambiguity and rapid changeHave an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with othersAbout 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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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.What You'll DoPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs.Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.What We're Looking ForStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleYou’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.About the RoleDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.Ensure data quality, observability, and performance across all AI systems.Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.Must HaveStrong experience in machine learning, deep learning, and NLP.Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.Proficiency in Python and familiarity with Go.Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).Ability to design ML systems for robustness, scalability, and automation.Strong coding, debugging, and data engineering skills.Passion for AI infrastructure and its real-world impact.Founder mindset: ownership, independence, and willingness to go deep.Nice to HaveExperience in speech recognition, TTS, or audio processing.Familiarity with LLMs, generative AI, or real-time inference systems.Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).Prior experience in startup environments with fast iteration cycles.Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most. What you'll do:System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).Required qualifications:BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceTypically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).Hands-on experience supporting flight demos or live exercises.Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. 102,669 - 154,003 a year#LI-LD2#LD Our international team members are employed through our Employer of Record (EOR) and receive a comprehensive international benefits package on top of base salary. For full details on compensation and benefits, please consult your talent acquisition partner.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real; enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re hiring a Senior AI Researcher to lead research on large language models for next-generation conversational avatars. This is a role for someone who doesn’t just want to follow the roadmap but you’ll help write it. You’ll drive research initiatives that define how avatars can think, adapt, and communicate naturally, across both verbal and non-verbal channels.Your Mission 🚀Lead research on LLMs and VLMs for Conversational Avatars, with a focus on modeling verbal + non-verbal interactions.Design and implement fine-tuning, adaptation, and conditioning techniques to control LLM behavior and align it with real-world conversational needs.Prototype, train, and optimize models that can operate in real-time generation settings with time budget constraints.Collaborate with the Applied ML and Product teams to move research into impactful production systems.Mentor other researchers, set research directions, and foster scientific excellence.You’ll Bring:A PhD or equivalent experience, plus 2–3+ years of postdoctoral or industry research on LLMs/VLMs.Proven expertise in generative language modeling and demonstrated innovation through prototyping.Strong track record in LLM adaptation, conditioning, or control methods.Experience with large model training at scale.Excellent programming skills (especially in PyTorch) and ability to move seamlessly between research and engineering tasks.Publications in top-tier conferences (EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV).Experience leading research efforts or directing technical agendas within teams.Nice-to-HavesBroader understanding of generative AI beyond text (multimodal, speech, vision).Strong grounding in deep learning methodologies that generalize across domains.Familiarity with best practices in software engineering and reproducible ML.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe considered for exceptional talent.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWe’re looking for a qualified doctor or clinician with AI/ML expertise to join our Medical Knowledge (MK) team as a Medical AI Specialist. You’ll bring your clinical expertise as well as technical expertise in software, AI, and machine learning into a fast-paced, hyper-growth startup environment. In this role you’ll:Help shape our AI products by infusing medical insights with deep technical knowledgeCollaborate across teams to turn clinician needs into reliable, high-impact AI featuresWhat you’ll do:Own the clinical integrity of Heidi: advise clinicians, troubleshoot edge cases, and validate outputsPartner with product, engineering and design teams to engineer prompts, build agentic AI, create model evaluation frameworks, and fine-tune models.Build cutting-edge AI features within Heidi using the latest tools and frameworksPlan and collaborate on research studies that prove our AI scribe’s clinical accuracy and user impactAdvise leadership on clinical quality and product roadmap prioritiesMentor colleagues and help build a culture of clinical excellence and collaborationWhat we will look for:Clinician with AI product experience Previous hands-on experience building scalable AI products or features for healthcare settingsLLM & foundation-model expertise Deep experience with large language models and provider APIs (OpenAI, Claude, Gemini), building LLM-powered healthcare products and featuresPrompt engineering & safety Proven track record crafting, iterating, and testing prompts; mitigating bias and hallucinations; embedding clinical safety guardrailsCross-functional collaboration Translate clinical needs into technical specs, partner closely with engineering and product teams, and embed quality controls for clinician trustPerformance optimization Optimise AI features for accuracy, latency, scalability, and cost (“fast, safe, cheap”)RAG pipelines & evaluation Build and maintain retrieval-augmented generation pipelines and automated evaluation workflows (traditional ML metrics, LLM-as-judge, A/B tests, clinician feedback loops)AI agent design & fine-tuning Design, build, and orchestrate multi-step AI agents; fine-tune or adapt models on medical datasetsSemantic search & vector DBs Hands-on experience with embeddings, vector databases, and agent frameworks like LangChainSoftware engineering & ML fundamentals: Fundamental understanding of Python, JavaScript, SQL; experience with cloud platforms and ML frameworksWhat do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritises the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthdaySpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine and change the face of healthcare around the world.

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About the Team OpenAI’s Hardware team designs the custom silicon that powers the world’s most advanced AI systems. From system-level architecture to custom circuit implementations, we partner closely with model and infrastructure teams to deliver performance, power, and efficiency breakthroughs across all layers of the stack.About the Role We are seeking a highly skilled Silicon Implementation Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators.You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality.In this role, you will:Develop, build and own tools, flows and methodologies for physical implementationOwn physical implementation of floorplan blocks from floorplanning to final signoffCollaborate with RTL designers to drive optimal block implementation solutionsAnalyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partnersQualifications:BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology developmentDemonstrated success in taping out complex silicon designsHands-on experience with block physical implementation and PPA convergenceStrong coding experience with python, bazel, TCLStrong experience building physical design tools, flows and methodologiesStrong understanding of microarchitecture, RTL design, physical design, circuit design, physical verification and timing closure.Deep familiarity with industry-standard tools and flows for physical synthesis, PNR, LEC and power estimationBonus:Experience with AI or HPC-focused chipsExperience with optimizing PPA for high performance compute coresHands-on experience with top-level design methodologiesAbout 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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Who are we?Ema is building next-generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary platform enables companies to delegate the majority of repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, and Okta executives, and serial entrepreneurs. We are well-funded by world-class investors and angels. Ema is based in Silicon Valley and Bangalore.Why does this role exist?Ema’s mission is to define the future of work by building an AI-native enterprise where intelligent agents handle the majority of operational execution. To achieve this, Ema must deeply understand and integrate with the vast ecosystem of tools, data sources, and platforms used across modern organizations.The AI Systems & Integrations team is responsible for expanding Ema’s capabilities across applications, MCPs, workflows, and data systems. The team ensures Ema can interact with, reason across, and take action within the environments our customers rely on every day.This role is critical to expanding the breadth and reliability of Ema’s intelligence.What is the role?We are looking for a technically fluent, high-agency AI Integrations Specialist to help scale Ema’s footprint across enterprise applications and agentic workflows. You will work hands-on with integrations, connectors, MCPs, and model evaluations that directly improve Ema’s reasoning and tool-calling accuracy.This is a rare opportunity to gain deep, practical experience with agentic AI systems, becoming one of the earliest experts in a rapidly growing field.What you’ll do day to day1. Integrations & Connector Enablementa. Integrate Ema with a growing set of enterprise applications and SaaS toolsb. Configure, test, and maintain MCP-based integrations, APIs, webhooks, and data connectorsc. Run and write scripts, write javascript code for workflows, manage Git workflows, and investigate integration issuesd. Optimize onboarding flows for new applications and ensure seamless operation in production2. Agentic AI Support & Enablementa. Ensure Ema has the right capabilities to take actions across connected systemsb. Build or modify small utilities, scripts, and transformations to bridge functionality gapsc. Partner with internal teams to design integration patterns that maximize Ema’s autonomy3. AI Evaluations & Model Feedbacka. Conduct deep evaluations on agent behavior, tool-calling accuracy, and reasoning qualityb. Analyze structured outputs, logs, and error cases to identify model weaknessesc. Work with modeling and product teams to provide high-quality feedback that improves the EmaFusion modeld. Design evaluation scenarios, test harnesses, and repeatable experiments4. Cross-Team Collaborationa. Work with Product, Engineering, and Customer teams to understand integration needsb. Help bring new customer use cases to life by expanding Ema’s system capabilitiesc. Translate customer workflows into integration requirements and actionable test plansWho We Are Looking For1-3 years of experience in an AI evaluation, integrations, testing, or similar engineering or product adjacent roleBachelors degree in an engineering discipline What would make someone successful in this role?a. High Agency: You move fast, self-manage, and take ownership of outcomesb. Technically Fluent: Comfortable with scripts, Git, API docs, CLI tools, and light debuggingc. Systems Thinker: You understand how applications, data flows, and APIs connectd. Analytical: You enjoy inspecting logs, identifying failure points, and running structured evaluationse. Builder at Heart: You love creating products using Agentic AI to solve meaningful problemsf. AI-Curious: You follow emerging AI developments and learn new tools quicklyg. Clear Communicator: You can explain both problem and solution clearly to cross-functional teams, both in verbal and written formatsBonus Pointsa. Experience building or maintaining integrations, APIs, or automation workflowsb. Exposure to MCPs, agent frameworks, or LLM-based tool callingc. Familiarity with no-code/low-code builders (Zapier, Make, n8n)d. Experience with AI-native coding tools like Cursor or Lovablee. Experience running or designing AI evaluations or red-teaming processesWhy this role is speciala. Direct impact on how Ema interacts with the worldb. Deep exposure to agentic AI and real-world model behaviorc. Rare opportunity to shape the next era of enterprise AI integrationd. A fast-learning environment with modern AI development toolingEqual OpportunityEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI’s Hivemind autonomy team is developing next‑generation multi‑target tracking and sensor fusion capabilities that enable resilient, mission‑ready autonomous systems. We are seeking engineers—from experienced senior contributors through subject matter experts—to design, implement, and deploy the tracking stack that powers Hivemind Pilot across all domains and platforms.  In this open‑rank role, you will bring deep expertise in target state estimation, multi‑sensor data fusion, and tracking theory (e.g., Bayesian filtering, statistical inference, association algorithms, dynamics modeling), combined with strong proficiency in modern C++ for production deployment. You will help drive the technical roadmap, develop high‑performance tracking algorithms, evaluate system performance across simulation, HITL, and flight test environments, and mentor teammates commensurate with your level. Your work will directly advance state‑of‑the‑art autonomy capabilities for our U.S. and international customers.What you'll do:Research, design, and implement state‑of‑the‑art multi‑target tracking and data association algorithms.Develop production‑quality C++ software for deployed military aviation platforms, ensuring deterministic, real‑time performance.Build and maintain comprehensive unit, integration, and system‑level tests validating algorithm correctness and robustness.Enhance and calibrate sensor models within advanced simulation and HWIL environments.Collaborate on feature planning, decomposition, and milestone execution within an agile development framework.Contribute to flight‑test planning, performance analysis, benchmarking, and regression evaluation.(Principal-level applicants) Provide technical leadership, design reviews, algorithmic mentorship, and subject‑matter expertise across the autonomy organization.Required qualifications:Strong to expert proficiency in modern C++ (C++11 or newer) and object‑oriented design principles.Professional experience deploying C++ software into embedded or real‑time systems, ideally for DoD or aerospace applications.Hands‑on experience designing and implementing state estimation algorithms (e.g., KF, EKF, UKF, ESKF) for real‑world systems.Demonstrated ability to develop, optimize, and maintain complex tracking or sensor fusion algorithms.Experience with CI pipelines, automated testing frameworks, and high‑reliability software practices.Familiarity with MATLAB or Python for prototyping is acceptable; however, primary development experience must be in C++. Candidates with MATLAB‑dominant backgrounds are unlikely to be a fit.Preferred qualifications:Experience designing, developing, and deploying multi-target tracking systems for defense applications across one or more domains: air, maritime, ground, or space.Familiarity with tracking architectures for radar, EO/IR, acoustic, RF, AIS, ADS-B, or ELINT sensors.Experience building and tuning error budgets, developing performance models, and conducting sensitivity analyses for estimation/tracking accuracy.Hands-on experience implementing and optimizing multi-hypothesis tracking (MHT), joint probabilistic data association (JPDA), or random finite set (RFS)-based filters.Exposure to distributed or hierarchical fusion, including track-to-track fusion or multi-platform coordination.Experience supporting requirements derivation, verification, and validation of tracking systems in DoD or IC programs, especially in operationally representative environments.Understanding of target dynamics modeling, including kinematic and non-kinematic state representations (e.g., turn rate models, coordinated motion, behavioral cues).Familiarity with sensor registration, line-of-sight geometry reconstruction, time synchronization, and calibration of extrinsics and timing offsets.(For Principal-level candidates) Demonstrated technical leadership building multi-year road maps and leading high-performing teams through design and deployment of modern trackers.  270,000 - 400,000 a year#LI-KC3#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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Meet Eloquent AIAt Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows.This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions.You will:Design and build full-stack applications that power AI-driven workflows for enterprise users.Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.Optimize AI-powered UIs to ensure seamless and intuitive user experiences.Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.Ship robust, minimal-dependency code that performs efficiently in enterprise environments.Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.Requirements2-5 years of hands-on experience building full-stack production applications.Proficiency in modern web technologies, including React, TypeScript, and Node.js.Experience with backend development using Python, Go, or similar languages.Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.Bonus Points If…You have experience building AI-powered applications with LLM integrations.You’ve worked in high-performance startups or enterprise AI environments.You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces.You have experience with GraphQL, WebSockets, or real-time data streaming.You’ve contributed to open-source projects or have built developer tools for AI.

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About Kodifly: Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle. Job Description: We are looking for a Software Engineer with a focus on Computer Vision to enhance our technology stack. This role offers a unique opportunity to work on real-world applications of AI and computer vision, contributing directly to the innovation and effectiveness of our SpatialSense product. Key Responsibilities:Develop and refine algorithms to enhance our capabilities, with a particular focus on spatial data presentation using GIS.Design, develop, test, and maintain software applications according to specifications.Collaborate with product managers, designers, and other stakeholders to gather requirements and define project scope.Write clean, efficient, and well-documented code using appropriate software development methodologies.Conduct thorough code reviews to ensure code quality, maintainability, and adherence to coding standards.Debug and resolve software defects and issues in a timely manner.Participate in architecture and design discussions to propose and implement solutions that align with business goals.Collaborate with cross-functional teams to integrate software components and resolve integration issues.Stay up-to-date with emerging technologies and industry trends to continuously improve software development practices.Collaborate with other assurance engineers to develop and execute comprehensive test plans.Contribute to the continuous improvement of development processes and tools.Create cutting applications for the edge and cloudParticipate in the design and development of new features that utilize cutting-edge computer vision techniques to advance our digital twin technology.Analyze performance data and iterate on our solutions to enhance accuracy and robustness in spatial data handling. Qualifications:Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related fieldProficiency in creating applications for the cloud and edgeSolid understanding of cloud computing platforms (e.g., AWS, Azure, GCP and associated services.Familiarity with edge computing concepts and technologies, such as CDN, caching, and edge caching.Prior DevOps experienceExperience with ROS software and methodologies is a plus.Proficient in programming languages such as C, Python, or similar.Strong understanding of software development principles, practices, and methodologies.Experience with backend software development frameworks Django, etc) and libraries.Familiarity with version control systems (e.g., Git) and collaborative development tools (e.g., Jira, Confluence).Knowledge of relational and non-relational databases and database design principles.Solid understanding of data structures, algorithms, and object-oriented programming concepts.Experience with unit testing and integration testing frameworks.Strong problem-solving and analytical skills.Excellent communication and collaboration skills.Ability to work independently and effectively in a team environment.We Offer:Opportunity to work with state-of-the-art technology in a rapidly evolving field.A collaborative environment where innovation is encouraged and rewarded.Competitive salary and share options.Professional development opportunities and a chance to make a significant impact in infrastructure safety and efficiency. Join Us at Kodifly: If you're ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. About the RoleWe're looking for a Senior Software Engineer to join our backend team and help build the infrastructure that powers AI workloads at scale. You'll design and implement core services in Go, work across multiple cloud environments, and collaborate with customers and internal teams to deliver reliable, low-latency systems.This role is ideal for someone who enjoys solving hard distributed systems problems, cares deeply about performance, and wants to work at the intersection of cloud infrastructure and machine learning.What You'll DoDesign, build, and operate backend services in Go that handle high-throughput, latency-sensitive workloads.Optimize system performance across compute, memory, and network dimensions—identifying bottlenecks and implementing measurable improvementsBuild and maintain integrations with AWS, GCP, and Azure, abstracting cloud-specific complexity behind clean interfaces.Architect systems that run reliably across multiple cloud providers, handling the nuances of each platform.Collaborate with ML engineers and platform teams to understand workload characteristics and design systems that meet their needs.Participate in on-call rotations and incident response, continuously improving system reliability.Influence technical direction through design documents, code reviews, and mentorship.What We're Looking For5+ years of experience building production backend systems, with strong proficiency in Go.Demonstrated experience designing and operating large-scale distributed systems (high availability, fault tolerance, horizontal scaling).Deep understanding of performance optimization—you can profile code, interpret flame graphs, and reason about latency at the p99 level.Significant experience with multiple major cloud providers (AWS, GCP, Azure), including compute, networking, and IAM.Familiarity with Kubernetes, container orchestration, and cloud-native patterns.Strong communication skills and a collaborative approach to problem-solving.If in the Seattle/Bellevue area, you will be expected to be in-office, in a hybrid schedule.Nice to HaveExperience with Python and/or Rust for SDK or tooling development.Experience building infrastructure for ML/AI workloads (training, inference, data pipelines).Background in systems programming, networking, or storage.Contributions to open-source projects.Experience with Terraform, Pulumi, or other infrastructure-as-code tools.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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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 positionIn this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.ResponsibilitiesDevelop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.Qualifications5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.PreferredBackground in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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 up to 6 months🎨 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, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the TeamThe Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering. We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains. About the RoleWe’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, product-minded engineers who can see the big picture while staying on top of the little details that define great products. In this role, you will:Own the full product development lifecycle for new platform capabilities and product experiences end-to-endCollaborate closely with internal customers to understand their problems and implement effective solutionsWork with the research team to share relevant feedback and iterate on applying their latest models You might thrive in this role if you:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who has built a product from scratch is a plusProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.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 KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This JobWe’re looking for an ML Engineer to architect and build Krea’s personalization and recommendation systems from scratch. You’ll have full ownership over how we understand user taste, curate content, and adapt generative models to individual aesthetics.This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools.What you’ll doArchitect and build Krea’s personalization and recommendation stack from the ground up, owning the technical direction end to end.Design algorithms to model user preference and taste, enabling Krea’s models to adapt to individual styles and aesthetics.Build high-quality, curated feeds that balance exploration, personalization, and aesthetic coherence.Work directly with the our model and research team to co-design personalization mechanisms that influence how our generative models learn, adapt, and express style.Contribute to personalized image generation research, with a focus on style, taste and subjective quality.Collaborate closely with product, design, and research to define what “good personalization” means in a creative contextTake systems from research and prototyping through production, iteration, and continuous improvementWhat we’re looking forStrong experience building recommendation systems or personalized feeds from scratchProven ability to design and ship high-quality curated content experiencesExperience working with media-based personalization (image, video preferred; music or other modalities also welcome)Solid foundations in machine learning, representation learning, and modern deep learning techniquesStrong Python skills and experience with ML frameworks such as PyTorch or JAX.Ability to operate independently, make architectural decisions, and own complex systems end to endBonus pointsExperience with large-scale data systems and production ML infrastructurePrior work on or familiarity with diffusion models or generative image systemsBackground in embeddings, similarity search, ranking, or aesthetic evaluationInterest in creative tools, art, design, or generative mediaWhat we offerOpenness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3).Work alongside a world-class team building the future of AI creative tooling.Significant scope and company-wide impact.Competitive compensation (75th percentile of market) with meaningful equity.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleConduct critical comparative analysis to advance our understanding of model capabilitiesBuild and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behaviorDevelop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data. About YouStrong statistical analysis and experimental design skills to rigorously measure model improvementsFamiliarity with LLM evaluation methodologies:static benchmarks, human preference evals, and/or agentic tasks.High agency and thrive in a fast-paced startup environment; bias for impact over process.Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments. You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate.Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success. They thrive in collaborative environments​ working seamlessly with both technical and non-technical partners​ and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback.What you'll doTechnical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases. You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems.Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows. This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost.Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls. You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment.Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers. You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams.Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders.Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage.You're a great fit ifYou Thrive on Technical Challenges: You are a builder who enjoys pushing the boundaries of AI innovation and are comfortable digging deep into areas you are unfamiliar with to make it happen.You Obsess Over Outcomes: You demonstrate strong product intuition, understanding that the goal is not just software delivery, but tangible ROI and improved outcomes for patients and providers.You Bridge the Gap: You enjoy operating at the intersection of technical execution and strategic vision, inspiring innovation in the partners and leaders you build with.You have an Entrepreneurial Mindset: You look at yourself as an owner who likes to build and solve challenges others have yet to master, thriving in an autonomous, high-performance environment. What we're looking for5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility.Proficiency in TypeScript/Node.js for backend development and scripting. Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure).Practical experience building with LLMs, including prompting, RAG, vector databases, and evaluation frameworks.Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred.Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives.This role offers a blend of in-office collaboration and travel. You’ll spend about 50% of your time meeting with customers and teams on-site, and we ask that you join us in the office three days a week to stay connected and work closely with your teammates.#LI-TD1We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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About Kerry CareKerry Care is a US-based healthcare technology startup building AI-powered systems to improve senior care delivery. We're early stage, mission-driven, and moving fast to solve real problems in how care is coordinated and delivered.We are looking to hire our Senior Technical Lead — the person who will own our technical architecture and set the engineering standard for the company.You'll be working with two other developers, but you are the senior engineer. You'll make the key technical decisions, build the core systems, and establish how we build software. This is not a management role — you'll be hands-on, writing code daily, and leading through technical excellence.This is a startup. That means ambiguity, pressure, direct access to founders, and real responsibility. You'll need to be highly driven and deeply interested in either AI systems, senior care technology, or both. It's a demanding role, but you'll work with smart people who care about the mission and you'll get direct exposure to how US startups actually operate.What You’ll DoOwn the technical architecture — backend, frontend, infrastructure, and AI integrationWrite code daily — build the critical systems yourselfMake stack and design decisions that will shape the product for yearsSet the standard for code quality, testing, and engineering disciplineIntegrate LLMs and AI workflows deeply into the platformWork directly with founders on product direction and technical roadmapCreate clarity and structure in an environment that doesn't have perfect specsMentor and guide the other developers technicallyMust-Have SkillsStrong TypeScript — you've built production systems with itDeep Node.js backend experienceSolid React frontend experienceProduction-grade real-time voice and telephony systemsSQL and database design — you know how to model data properlyExperience with TypeORM, Zod, or similar toolsAbility to reason about full-stack architectureExperience building with or integrating LLMs and AI systemsStrong engineering fundamentals — clean code, maintainability, system designBonus SkillsExperience at early-stage startupsDevOps and infrastructure experienceBackground in conversational AI or workflow automationWhy Join Kerry Care?Direct impact on senior care and patient outcomesTechnical ownership from day one — your decisions matterWork closely with founders and shape company directionReal exposure to US startup culture and executionSmall team, high responsibility, meaningful workAmbitious, driven teammates who care about what we're buildingInterview ProcessSilver screening Interview.Silver Technical Interview.Silver Coderbyte Quizz.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.This role is hard. It requires drive, ownership, and comfort with pressure. But if you want to build something real, with serious technical challenges and direct impact, this is it.

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Zeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You’ll Do:Design, develop, test, and deploy robust and scalable software solutions for counter-drone systems.Collaborate with cross-functional teams, including hardware engineers, data scientists, and subject matter experts, to define system requirements and architecture.Implement algorithms for drone detection, tracking, identification, and mitigation.Optimize software for real-time performance and resource efficiency in embedded and distributed environments.Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards.Troubleshoot and debug software issues, ensuring system reliability and performance.Stay up-to-date with emerging technologies and industry best practices in software development and counter-drone capabilities.What You’ll Need:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Proven experience in software development, preferably in a defense, aerospace, or security-related domain.Proficiency in one or more programming languages such as C++, Python, or Java.Strong understanding of data structures, algorithms, and object-oriented design principles.Experience with embedded systems, real-time operating systems (RTOS), or distributed systems is a plus.Familiarity with signal processing, computer vision, or machine learning concepts is highly desirable.Excellent problem-solving skills and a strong analytical mindset.Ability to work effectively in a fast-paced, collaborative team environment.U.S. citizenship is required due to government contract requirements.Preferred SkillsExperience with sensor integration (e.g., radar, optical, acoustic).Knowledge of communication protocols and networking.Familiarity with cybersecurity principles and secure coding practices.Experience with Agile development methodologies.