Find your next AI Engineering role

NVIDIA is seeking software engineers for the Tensor IR & CUDA Tile team to work on compiler technologies for NVIDIA GPUs. These technologies are central to the deep learning revolution, enabling breakthroughs in generative AI, large language models, and other critical areas. You will join a top-notch team with broad impact across the deep learning community, contributing to the next era of computing where AI drives innovation.

$152k - $242k

LangChain is seeking a Deployed Engineer to join their team in Atlanta. This role focuses on building and running AI agents in production, partnering directly with customer engineering teams to transform ideas and prototypes into reliable systems. You will work on challenging applied AI problems, not just demos or research, ensuring that real teams can depend on the AI agents you help build. The feedback loop is rapid, the impact is tangible, and your contributions will directly influence how AI agents are developed globally. This position offers a unique opportunity to shape the adoption of LangChain technology in the field and contribute valuable real-world insights back into the platform.

$150k - $250k

Pax Historia is building the platform for worldbuilders, storytellers, and game developers to create and publish interactive entertainment. With over 25,000 user-published presets and more than 92 million rounds played, the company has secured a $10M+ seed round. This role focuses on owning the system responsible for sending a high volume of requests across multiple AI providers, ensuring quick, reliable, and cost-effective responses. The engineer will work on provider reliability, structured outputs, caching, routing, and monitoring to manage over 37 models and approximately 240 billion weekly tokens, while reducing costs and latency for a large daily active user base. This position does not involve model training or running model inference.

$140k - $220k

Applied Intuition is seeking a founding senior Research Scientist to join their Robotics team, a core vertical within their physical AI platform. This role offers a unique opportunity to shape the trajectory of robotics at a well-backed, high-growth company, focusing on the challenging frontiers of humanoids and dexterous manipulation. You will have the autonomy to set the research agenda, conduct original research, and see your methods deployed in real-world humanoid robots. The position is part of a collaborative research group with a strong track record of academic and industry contributions, offering a clear path to real-world deployment and leadership.

$250k - $423k

Greptile is seeking a Research Engineer to join their AI code reviewer team. This role involves experimenting with and applying the latest advances in agents and language models to enhance product performance and capabilities. You will design and build multi-agent systems, harnesses, models, and evaluations that power code validation. The position offers the opportunity to study multi-agent architectures, prototype and evaluate workflows, and integrate successful prototypes into production systems, while staying current with research in LLMs, information retrieval, and developer tooling.

$180k - $280k

Assort Health is building a continuous conversation for every patient, an AI agent that remembers context from initial symptoms to full recovery. The company has rapidly grown, securing significant funding and recognition in the healthcare AI space. They are seeking Senior Forward Deployed Engineers to own customer deployments from technical build through go-live and optimization. This role involves working directly with health systems to build, configure, and deploy AI agents tailored to their workflows, acting as the technical owner while collaborating with Product Managers.

$190k - $240k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a rapidly growing team of researchers, engineers, and operators backed by significant VC funding. This role focuses on building the product surfaces, backend systems, and internal tools that power HUD's Reinforcement Learning (RL) data engine. You will own product surfaces end-to-end, translating ambiguous needs into polished products that enable our RL systems by working closely with research engineers and vendors.

$100k - $225k

OpenAI

OpenAI's Health team is dedicated to ensuring that AGI improves health for all humanity. This role focuses on building frontier health capabilities and scaling them into impactful products. You will tackle underdefined problems from inception to measurable improvement, working across the full model stack. We are seeking researchers with technical depth in areas like pretraining, reinforcement learning, or evaluations, or those with expertise in developing frontier biomedical AI capabilities. Prior healthcare experience is a plus, but research excellence, velocity, ownership, and mission alignment are paramount. This is a hands-on research position focused on driving real-world health outcomes through AI.

$380k - $500k

Thinking Machines is seeking a researcher to scale reinforcement learning for frontier models. This role focuses on the intersection of training recipes and infrastructure, particularly for high-training-compute, long-horizon RL. A key area of interest is asynchronous RL, requiring a deep understanding of its algorithms, design choices, and trade-offs on both ML and systems sides. The position also emphasizes the importance of inference systems, low-precision numerics, and quantization, as these significantly impact RL scaling and cost. This is a research role with full-stack ownership, from algorithms to training run health.

$350k - $475k

Anthropic

Anthropic is seeking a Software Engineer to build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must. We believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. Security sits at the center of our work, and not as an afterthought.

$320k - $625k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Code RL team is at the forefront of this mission, driving reinforcement learning efforts for Claude's coding capabilities and scaling agentic coding environments. This role offers significant latitude in setting technical direction and standards, focusing on the engineering challenges of research efforts. You will embed with research teams, understand their needs, and design frameworks, APIs, and infrastructure to accelerate their work, ensuring these systems are maintainable and well-understood by the teams that will own them. The team's work spans sandboxed execution environments for agentic RL, large-scale data processing, production dataset lifecycles, and the frameworks researchers use to build these environments. You will contribute to the ongoing health of production RL runs, focusing on maintainability, monitoring, and ease of triage.

$405k - $625k

Anthropic

Anthropic's Safeguards team is responsible for developing systems that detect and mitigate misuse of AI models, addressing everything from individual policy violations to complex, coordinated attacks. A significant portion of this work involves creating lightweight detection methods trained on model internals, enabling efficient and large-scale identification of harmful behavior. This role focuses on owning the infrastructure that supports this research, acting as a crucial link between research and production. The infrastructure is essential for researchers to conduct experiments, train detection methods, and select detections for deployment, ensuring fast iteration and reliable, correct results as models evolve.

$350k - $500k

Anthropic

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you.

$300k - $320k

Anthropic

Anthropic's Safeguards team is looking for a Red Team Engineer to ensure the safety of their AI systems and products. This role involves taking an adversarial approach to find vulnerabilities before malicious actors can exploit them. The work covers technical infrastructure weaknesses and emergent risks from advanced AI capabilities, focusing on broader safety implications and novel abuses unique to AI systems. You will simulate sophisticated threat actors, investigate potential abuse like account manipulation and payment fraud, and chain multiple attack vectors to achieve objectives.

$320k - $405k

Anthropic

Anthropic's Enterprise AI Products team builds the tools that make Claude a daily-use application for enterprise customers. This role focuses on organizational context and workflows, developing products that enable Claude to operate seamlessly within an organization. You will be instrumental in shaping the product and architecture in a nascent market, acting as a technical leader who considers the end-to-end customer experience and partners with research to bring model capabilities into production.

$405k - $485k

Anthropic

The Computer Use team at Anthropic focuses on enhancing Claude's ability to perceive, interact with, and comprehend computer interfaces. As a Research Engineer on this team, you will be instrumental in advancing our models' capabilities to reliably and safely operate real software. This role offers a unique opportunity to contribute to both the research and product development aspects of computer use, with your work directly translating into tangible model improvements for Anthropic's and its customers' products. You can experience Claude's computer use features through the Claude in Chrome extension and Claude Cowork.

$500k - $850k

Anthropic

We are seeking an exceptional Research Engineer to join our Life Sciences team. This role is focused on accelerating progress in the life sciences through AI, from early discovery to translation. You will combine deep expertise in machine learning engineering with the development of novel evaluation frameworks and training strategies to advance AI's capabilities in biology. You will work at the intersection of AI and biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. Collaboration with world-class researchers and engineers is key to building AI systems for all phases of research and development, while upholding our commitment to safety and beneficial impact. Previous experience in life sciences is welcome but not required.

$350k - $500k

Anthropic

Anthropic is seeking a Research Engineer for its Code RL team to advance AI models' capabilities in writing, editing, testing, debugging, and shipping software. This role involves designing RL environments, coding tasks, reward signals, and verifiers. You will conduct training experiments on frontier models, diagnose performance issues, and enhance pipeline speed and reliability. The position offers opportunities to work on agentic coding behaviors, code correctness, long-horizon autonomous engineering, and high-performance code for accelerators, aligning you with an area of maximum impact.

$500k - $850k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k

Anthropic

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team, focused on transforming Claude into a leading AI research assistant for life sciences. This role bridges machine learning, software engineering, and biology, aiming to enhance model capabilities in scientific tasks through post-training, evaluation design, and RL environment development. As a key member, you will translate biological domain knowledge into model training objectives, benchmarks, and agentic workflows, positioning Anthropic at the forefront of AI-accelerated biology and shaping how frontier models handle computational biology tasks. This is a unique opportunity to apply your computational biology expertise to advance AI model learning in biology, working alongside top AI researchers on critical problems for human health and scientific understanding.

$300k - $320k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Reinforcement Learning teams are critical in advancing AI systems, contributing to models like Claude and enhancing autonomy and coding capabilities. Their work spans enabling models to use computers, advancing code generation, pioneering fundamental RL research for LLMs, building scalable RL infrastructure, and enhancing model reasoning. They collaborate with alignment and red teams for safety and with production teams to deploy innovations. This role is on the Code RL team, focused on advancing models' ability to design silicon. You will leverage chip design expertise to create tasks and signals for models. This involves inventing and implementing RL environments and evaluations for RTL generation, design verification, and physical design optimization, as well as working on cross-cutting RL considerations like EDA-tool latency and proxy rewards. You will conduct experiments, shape the roadmap, and deliver work into research and production training runs, collaborating with researchers and engineers across the company.

$500k - $850k

Anthropic

Anthropic's inference fleet serves Claude to millions of users across its own products and major cloud platforms. The stack supporting this is complex, involving accelerator kernels, model servers, distributed routing, autoscaling, and capacity management. The Inference System Dynamics team is tasked with understanding this entire system and ensuring high performance across throughput, latency, reliability, and correctness. This involves measuring fleet performance against its theoretical limits, investigating performance gaps, and owning correctness checks to ensure Claude's outputs are accurate. The team does not own individual components but instruments, models, and partners with owning teams to implement optimizations.

$350k - $850k

Anthropic

The RL Velocity team is responsible for the efficiency and reliability of Anthropic's RL Science stack, which includes the infrastructure, tooling, and systems that enable researchers to iterate quickly on training runs. As a Research Engineer on this team, you will build and enhance the core platform that supports RL at Anthropic. Your work will focus on removing bottlenecks that impede research progress and making it easier for the broader organization to ship better models more rapidly. This role offers high leverage, as small improvements in velocity can significantly compound across all researchers and training runs.

$500k - $850k

Anthropic

As a Full-Stack Software Engineer in RL, you will build the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. The quality of our AI models directly depends on the data used for training, and the systems you develop will be critical in making that data possible. You will be responsible for product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. A background in ML research is not required; instead, the focus is on your ability to tackle ambiguous, high-stakes problems and deliver polished, reliable products quickly. This role operates within a fast-paced team where iteration cycles are short, and your judgment and ability to adapt to evolving researcher needs are paramount. You will refine data collection strategies to integrate the knowledge of thousands of human experts into our models, closing the loop in hours and days.

$300k - $405k

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams responsible for current and emergent products. In this role, you will be a technical leader focusing on the end-user experience across various platforms like Claude.ai, the Anthropic API, and enterprise deployments. You will collaborate with product leaders, designers, and researchers to translate new model capabilities into user-facing features and own the technical quality, scalability, and developer experience of these products. The teams are flexible, allowing for placement based on your interests and experience to maximize impact and growth potential.

$320k - $320k

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams responsible for their current and emergent products. In this role, you will be a technical leader, focusing on the end-to-end user experience for products like Claude.ai, the Anthropic API, and enterprise deployments. You will collaborate with product leaders, designers, and researchers to leverage new model capabilities and redefine what's possible for users in the LLM space. The position requires a product-oriented mindset, ownership of technical quality across the stack (performance, accessibility, reliability, developer experience), and the ability to scale solutions globally. Team placement will be determined after the interview process based on your interests and experience, ensuring you contribute to efforts where you can have the greatest impact and growth potential.

$405k - $485k

Anthropic

We are seeking experienced backend and distributed systems engineers to join the Agentic Systems team. This team builds Claude Managed Agents, a hosted platform for developing, running, and scaling production agents on Claude. Instead of each developer building their own agent loop, sandboxed execution, state management, and error recovery, Managed Agents provides a robust Anthropic-built agent harness paired with production infrastructure for sessions, environments, tools, memory, and permissions. This platform powers both internal Anthropic agentic products and those built by external customers on the Claude Platform. As part of an early, rapidly growing team, you will drive 0 to 1 initiatives from ideation to general availability, own systems end-to-end from API design to operations, and collaborate closely with product, research, developer experience, and go-to-market teams. You should be adept at tackling complex distributed systems challenges, value API design as a product, and be motivated by transforming ambiguous concepts into high-quality, shipped platform capabilities that empower other engineers.

$405k - $485k

Anthropic

AI Reliability Engineering (AIRE) partners with teams across Anthropic to enhance the reliability of critical serving paths, encompassing everything from the SDK through network, API layers, serving infrastructure, and accelerators. This role involves diving into complex systems alongside partner teams to strengthen the robustness and resilience of systems that deliver Claude, both during incidents and through collaborative projects. Reliability is viewed as an emergent property that spans team boundaries, requiring a holistic perspective to manage the interconnectedness of these vital systems.

$325k - $485k

Anthropic

Anthropic is seeking a Staff Software Engineer to lead technical direction at the intersection of engineering and research for the Claude Code team. You will collaborate with researchers and engineering leadership to define how Claude's coding capabilities are measured, understood, and improved. This role involves architecting systems, tooling, and evaluation infrastructure that accelerate research progress and influence the team's technical decisions. As a senior individual contributor, you will drive architecture, mentor engineers, and shape the future of Claude Code.

$405k - $485k

Anthropic

We are seeking research engineers to develop safety and oversight mechanisms for how our AI models handle biological knowledge. This role involves designing and executing capability evaluations on advanced models, curating training data for safety classifiers, and collaborating with ML engineers to train and refine these classifiers. You will measure their effectiveness against adversarial pressures in live traffic, focusing on the precise balance between robust safeguards and minimal disruption for legitimate scientific research. While deep ML expertise isn't required upfront, we are looking for strong scientific programmers with a solid understanding of modern biology who are eager to apply this knowledge to model evaluation and classifier development.

$300k - $405k

Anthropic

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

$300k - $405k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Research Engineer, you will contribute to building large-scale ML systems from the ground up, focusing on safety, steerability, and trustworthiness. You will be involved in all aspects of the codebase and infrastructure, from improving cluster reliability and job efficiency to running scientific experiments and enhancing development tooling. This role is ideal for individuals who are excited to write code within a research context and understand the broader importance of their work.

$350k - $500k

Anthropic

We are seeking ML Engineers and Research Engineers to join our Safeguards ML team. Your primary focus will be to build systems that detect and mitigate misuse of our AI systems, identifying harmful use ranging from individual policy violations to sophisticated, coordinated attacks. You will develop defenses to keep our products safe as AI capabilities advance, and work on systems that protect user wellbeing and ensure our models behave appropriately across various contexts. This role directly contributes to Anthropic's Responsible Scaling Policy commitments.

$350k - $500k

Anthropic

Anthropic's ML Performance and Scaling team is responsible for training the company's production pretrained models, a critical function that shapes the future of AI development and the mission to build safe, beneficial AI systems. As a Research Engineer on this team, you will ensure that frontier models are trained reliably, efficiently, and at scale. This role demands deep technical expertise and a passion for large-scale ML systems, operating at the intersection of research and engineering. You will engage with the entire production training stack, focusing on performance optimization, hardware debugging, experimental design, and launch coordination, often working in tight lockstep with the team to address production issues during model launches.

$350k - $850k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role is part of a team focused on building an AI scientist capable of solving long-term reasoning challenges and advancing scientific frontiers. As a Research Engineer, you will work across the entire model stack, identifying and addressing key infrastructure blockers on the path to scientific AGI. You will optimize performance, manage distributed systems, deploy VMs/sandboxes/containers, and build large-scale data pipelines.

$350k - $850k

Anthropic

Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you will architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You will be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you will implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

$280k - $850k

Anthropic

As a TPU Kernel Engineer, you will be responsible for identifying and addressing performance issues across various ML systems, including research, training, and inference. A significant part of this role involves designing and optimizing kernels specifically for the TPU. You will also provide crucial feedback to researchers regarding how model changes affect performance. The ideal candidate will have a proven history of solving large-scale systems problems and demonstrating expertise in low-level optimization.

$280k - $850k

Anthropic

Anthropic is seeking a Research Engineer/Scientist focused on AI alignment. This role involves designing and executing machine learning experiments to understand and steer the behavior of advanced AI systems, with a particular emphasis on safety and potential risks from future, highly capable AI. You will collaborate with teams like Interpretability and Fine-Tuning, contributing to exploratory research on topics such as scalable oversight, AI control, alignment stress-testing, automated alignment research, alignment assessments, safeguards research, and model welfare. The ideal candidate possesses a blend of scientific curiosity and engineering skill, aiming to make AI systems helpful, honest, and harmless.

$350k - $500k

Anthropic

Anthropic is seeking a Research Engineer to join its Pre-training team, focusing on developing the next generation of large language models. This role involves working at the intersection of cutting-edge research and practical engineering to build safe, steerable, and trustworthy AI systems. The team is dedicated to ensuring that transformative AI systems are aligned with human interests and are beneficial for society.

$350k - $850k

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

$500k - $850k