Find your next AI Engineering role

Anthropic

Anthropic is building AI systems that are safe, beneficial, and transformative, with the mission to develop AI that benefits humanity. This role focuses on applying Claude to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. The team builds the necessary software, including agent harnesses, integrations, evaluations, and working processes, to turn a partner's problem into something Claude can make progress on and validate. This is an engineering role where you will work closely with domain experts, become proficient in using Claude for their specific fields, and prototype quickly. The primary focus is on building and hardening systems to make this work repeatable, rather than just configuring existing products. A science or engineering background is beneficial, but the ability to earn the trust of expert researchers, translate fuzzy problems into concrete and verifiable tasks, and ship solutions is paramount.

$405k - $485k

We are seeking a self-directed, visionary technical leader to serve as a Lead Software Engineer within the DET IT Finance Engineering team. This role sits at the intersection of enterprise finance systems, integration engineering, AI-powered tooling, and cloud platforms. You will set the technical direction for Workday Finance and MuleSoft integration solutions, champion AI adoption across the engineering lifecycle, and bring cloud-native thinking (AWS/GCP) to how we design, operate, and evolve our platforms. This is a unique opportunity to make a meaningful, high-impact contribution at scale — directly influencing the architecture, delivery, and long-term evolution of enterprise finance systems that power Salesforce globally.

$173k - $260k

Salesforce is seeking a Senior Keynote Developer to join the Cross-Cloud Marketing Demo team. This role involves translating leadership's vision into working prototypes and building tools for global teams to run live demos. You will be responsible for architecting end-to-end demo environments and multi-product flows, often showcasing them live on stage at major events. The position requires close collaboration with product marketing, developers, and designers to ensure alignment on what can be safely presented.

$149k - $224k

Accenture

Accenture Industry X is seeking an experienced Machine Learning Architect to join their Automotive Engineering team. This role will contribute to the development of next-generation intelligent vehicle solutions by designing and implementing Machine Learning architectures for automotive software platforms. The team focuses on shaping a future-looking Software-Defined Vehicle Platform that unifies various operating systems into a powerful developer ecosystem, driving innovation in ADAS and Infotainment.

Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on solving complex problems for self-driving cars. We are seeking experienced Machine Learning Engineers with expertise in computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. The role involves inventing human-level AI for perception under real-world conditions, contributing to a defining technological advancement of our generation.

$184k - $357k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

NVIDIA is at the forefront of visual and AI computing, driven by our pioneering work with GPUs. We are seeking a GPU PCIe and Boot Architect to join our team and design the architecture and infrastructure for critical system functions including boot, PCIe/CXL enumeration, and capability discovery. This role involves collaborating with global software, hardware, and verification teams to shape the next generation of GPUs, creating functional and performance models, and supporting post-silicon validation. If you are creative, autonomous, and passionate about building the industry's highest-performance chips, we encourage you to apply.

$108k - $196k

NVIDIA is seeking software engineers for the CUDA Tile team to support a new tile-based programming model for NVIDIA LPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels for various NVIDIA GPU and LPU architectures. The scope includes defining public APIs, crafting optimization techniques, and general software engineering. NVIDIA offers competitive salaries, equity, and a comprehensive benefits package, making it a desirable employer in the technology industry.

$152k - $242k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

NVIDIA is seeking talented Deep Learning Scientists, AI Researchers, and Machine Learning Engineers to join our AI Safety and Responsibility efforts for Enterprise Risk Management. This role focuses on scaling safety for multi-modal Large Language Models (LLMs), including advanced agentic safety, and measuring/improving the security, content safety, and inclusivity of frontier models. You will tackle innovative problems in machine learning, collaborating with world-leading AI companies and internal teams.

$184k - $288k

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. The Applied Research team focuses on enhancing the quality, speed, and cost-efficiency of AI agents. This involves advancing post-training techniques for open-weight models, pioneering new approaches in voice AI, and translating research breakthroughs into robust production systems. The role involves tackling complex AI and ML challenges, building agents capable of reasoning and executing intricate tasks, and determining the optimal balance between custom models and external intelligence to maximize customer value.

Sierra is seeking a Software Engineer for its Inference team to build the systems that power their AI agents. This role focuses on making foundation models fast, reliable, and efficient at scale. You will define the inference architecture, working on systems for serving, routing, capacity management, and optimization for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI, requiring strong distributed systems fundamentals and experience with complex systems problems.

$230k - $390k

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform ensures customers can deploy and operate advanced models with industry-leading performance, scalability, and reliability. You will work across the entire stack, from the developer experience for model deployment to the systems orchestrating Kubernetes and routing traffic efficiently, ensuring every model on our platform is fast, reliable, and cost-efficient.

$180k - $360k

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking inference performance engineers to make demanding AI workloads run faster and more efficiently. You will work across the entire stack, from the inference engine and runtime through scheduling, serving, and routing, applying advanced techniques to optimize performance. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to LLM inference.

$180k - $360k

OpenAI

We are seeking a Backend Software Engineer with experience in ML/LLM-heavy domains to design and build an "evals" infrastructure. This role is critical for measuring the quality of OpenAI's support automation and involves building robust systems and backend services that form the foundation for knowledge creation, access, and application across OpenAI. You will collaborate closely with Data Science and Research partners to design and build evaluations at scale, focusing on creating reliable, reproducible, and extendable eval pipelines and infrastructure for continuous monitoring.

$266k - $445k

OpenAI

The Cooperative AI team is building an AI-powered knowledge system that evolves and learns alongside OpenAI's products, systems, and customers. This team leverages state-of-the-art models and technologies to automate robust operations, supporting both internal and external customers globally. The work focuses on proving impact through internal use cases, particularly in knowledge systems, automation systems, and automated agent systems, before scaling them. We are looking for Software Engineers passionate about blending production-ready platform architecture with new technologies and paradigms. You will push the boundaries of OpenAI's newest technologies to enable functional and delightful interactions and automations, with a focus on foundational details like data models, architecture, and security to enable great products.

$266k - $445k

Invisible Technologies is seeking a Research Engineer to join its research organization, focusing on reinforcement learning, evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. This role involves defining how frontier models are measured, with direct influence over the methodology and its implementation. You will translate research questions into practical scoring frameworks, evaluation architectures, or environment designs, and then build the production systems to run them. This is a hands-on role for someone who wants to design the approach and write the code to prove it out, with reporting lines varying by experience level.

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Runpod is seeking a systems-focused Cloud Infrastructure Security Engineer to safeguard its bare-metal and virtualized GPU cloud infrastructure. This role is crucial for ensuring the security, multi-tenant isolation, and integrity of the underlying GPU cloud infrastructure. The ideal candidate will have deep knowledge of Linux systems, kernel internals, hypervisors, and containerization, focusing on preventing tenant breakouts, securing GPU hardware, and building resilient infrastructure for AI and machine learning workloads. You will operate with an attacker's mindset, identifying and patching vulnerabilities at the lowest levels of the stack.

$152k - $175k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will have the opportunity to work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, participating in the creation of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Full time • San Francisco, CA • $180K – $240K • 2 openings Parameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year. We are not a theoretical security company. Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships. You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners. The title points at where you'll spend most of your time. Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that. What you'll do - Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains - Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation - Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up - Reduce false positives, which is the single hardest problem in this space and the thing customers care most about - Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock What we're looking for - 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos) - Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration - Real intuition for context engineering, tool design, and why agents fail in the wild - You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior - Bonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break Interview process - Intro call with a founder (30 minutes) - Technical deep dive on your past work (60 minutes) - Paid work trial or take-home, scoped to roughly one day - Onsite in San Francisco with the team - References and offer Stack TypeScript · LangGraph · Temporal · GCP · AWS Bedrock · Anthropic API · Langfuse · Braintrust · GitHub Actions · Linear · Graphite We move quickly. Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that. This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.

$180k - $240k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the product surface that enables external companies to utilize Pi's models similarly to how developers use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close collaborations into a scalable platform designed to support a vast number of robots. The Software Engineering team at Pi focuses on scaling research breakthroughs into reliable products for the physical world. This role is situated at the intersection of AI, infrastructure, and external partnerships. You will collaborate with researchers and engineers to convert evolving model capabilities into accessible APIs and tools for a diverse user base, from hobbyists to large organizations. The objective is to reduce the need for hands-on partner onboarding, enabling them to independently manage data, fine-tuning, evaluation, and inference through an intuitive, reliable, and scalable product.

Mercor is seeking a Research Scientist Intern to contribute to cutting-edge research in AI. This role focuses on post-training techniques, reinforcement learning with verifiable rewards (RLVR), data generation, and model evaluation. You will investigate how different datasets, rewards, and training methods influence the capabilities and behavior of large language models. The internship involves designing experiments, developing new evaluation methodologies, analyzing model failures, and improving aspects like tool use, agentic behavior, and real-world reasoning. You will collaborate with researchers and domain experts, with the potential for your work to support publications and the development of advanced AI systems.

Modal is building a new infrastructure layer for AI, focusing on the demands of AI workloads that previous infrastructure couldn't support. Our platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are experiencing rapid growth, with a significant increase in annualized run rate and a recent Series D funding round. Our team comprises experienced engineers and researchers from diverse backgrounds, including creators of popular open-source projects and academic researchers.

$220k - $300k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Air Dominance & Strike team develops aerial and multi-domain robotic systems, including unmanned fighter jets and cruise missiles, and the Lattice for Mission Autonomy software platform. We are seeking an AI Research Scientist to be a founding ML expert, designing, fine-tuning, and deploying generative AI, LLMs, and agentic systems for our air-dominance platforms. This is a highly applied research role focused on making state-of-the-art LLM models smaller, faster, and smarter, optimizing them for both offboard systems and power-constrained edge hardware. As an early member, you will have significant autonomy to set technical direction, design data collection strategies, and influence multi-agent autonomy deployment.

$220k - $292k

We are seeking a Staff ML Tech Lead Manager to apply the latest research to solve our toughest problems. This role will be responsible for owning the entire machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.

$220k - $330k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Developer Platform team builds critical infrastructure to enable engineering teams to deliver mission-critical defense systems. This role will optimize release pipelines, CI/CD workflows, and develop productivity-enhancing tools. You will architect data infrastructure for engineering metrics and directly impact the productivity of the entire software engineering ecosystem, supporting Anduril's mission to solve critical defense challenges through advanced technology.

$220k - $292k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Developer Platform team builds critical infrastructure for engineering teams, optimizing release pipelines, CI/CD workflows, and developing productivity tools. This role will architect scalable AI-powered automation solutions and design robust data infrastructure to support diverse business lines and drive strategic decision-making.

$220k - $292k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Developer Platform team builds critical infrastructure to enable engineering teams to deliver mission-critical defense systems. This role will optimize release pipelines, CI/CD workflows, and develop productivity-enhancing tools. You will architect data infrastructure for engineering metrics and directly impact the productivity of the entire software engineering ecosystem, supporting Anduril's mission to solve critical defense challenges through advanced technology.

$220k - $292k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Staff Robotics Software Engineer to join our Air Dominance & Strike team, which develops aerial and multi-domain robotic systems. This role involves contributing to cutting-edge autonomy software, including computer vision, motion planning, SLAM, controls, and secure communications, for products like unmanned fighter jets and air-breathing cruise missiles. You will work on a premier software platform that enables collaborative missions for various robots.

$254k - $338k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Staff Robotics Software Engineer to join our Air Dominance & Strike team, which develops aerial and multi-domain robotic systems. This role involves contributing to cutting-edge autonomy software, including computer vision, motion planning, SLAM, controls, and secure communications, for products like unmanned fighter jets and air-breathing cruise missiles. You will work on a premier software platform that enables collaborative missions for various robots.

$254k - $338k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Staff Robotics Software Engineer to join our Air Dominance & Strike team, which develops aerial and multi-domain robotic systems. This role involves contributing to cutting-edge autonomy software, including computer vision, motion planning, SLAM, controls, and secure communications, for products like unmanned fighter jets and air-breathing cruise missiles. You will work on a premier software platform that enables collaborative missions for various robots.

$254k - $338k

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform that powers the company's autonomous systems. This role will own the technical roadmap for the ML platform, building robust infrastructure, MLOps tooling, and systems architecture to train, evaluate, host, and serve complex AI models. The engineer will optimize experimentation velocity for AI Research Scientists, manage large datasets, and contribute to recruiting and mentoring the infrastructure engineering team.

$220k - $292k

Anduril Industries is a defense technology company transforming military capabilities with advanced technology. We are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering to solve challenging perception problems for our UAVs. This role requires hands-on proficiency in C++ and/or Python within a Linux environment, leveraging cutting-edge research and deep expertise in areas like Object Detection and Object Tracking.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. Our core Lattice platform integrates sensors to provide real-time situational awareness. As a Software Engineer on the ML Infrastructure team, you will develop the core systems and infrastructure that perception engineers use to field autonomous edge systems. This includes developing data management systems for perception and autonomy, model training/orchestration systems, and an internal perception platform for data querying, model training, and evaluation.

$166k - $220k

Anduril Industries is a defense technology company focused on transforming U.S. and allied military capabilities with advanced technology. We are seeking a Software Engineer to join our Battlespace Awareness team, specializing in complex, real-world problems through cutting-edge algorithms and intelligent software integrations. This role involves providing software engineering and development support for core team tools and, for candidates with an ML background, helping to establish new ML infrastructure to optimize system parameters and detect performance regressions.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Software Engineer to join our Battlespace Awareness team, specializing in complex real-world problems through cutting-edge algorithms and intelligent software integrations. This role involves providing software engineering and development support for core team tools and, for candidates with an ML background, helping to establish new ML infrastructure to optimize system parameters and detect performance regressions. Our work directly impacts mission-critical applications, and we measure success by the real-world impact of our deployed solutions.

$165k - $218k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking Software Engineers to build the core Command and Control software for our Lattice platform, which powers aerial and multi-domain robotic systems. This role bridges the gap between hardware and human operators, with software running on vehicles for real-time telemetry and autopilot tasks, and on Ground Control Stations for mission planning and fleet management. We are also pioneering the integration of GenAI agents for natural language control of autonomous assets. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world.

$166k - $220k

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure the platform is reliable and fast, helping to build and deliver fully automated CI pipelines that allow teams to ship code without causing issues for others. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will also compound across other products. You will contribute to a shared roadmap, own specific epics from start to finish, and implement metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where accuracy has significant consequences. If you enjoy building essential infrastructure for other engineers and working on systems that deliver real defense technology, this is the opportunity for you.

$166k - $220k