AI Engineering Jobs in San Francisco

Anthropic

Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.

$300k - $320k

Momentic is seeking a hands-on AI Engineer to join their engineering team and collaborate closely with the CTO. This role focuses on enhancing the AI models and agents that power Momentic's AI-native testing platform. You will be instrumental in fine-tuning models, developing robust evaluation strategies, and transforming production data into more reliable and efficient AI agents. Your work will have a direct and significant impact, as Momentic processes over a million tests daily and billions of tokens per hour.

$175k - $250k

This internship is focused on ML research mixed with applied ML and software engineering, specifically around trust and safety in LLMs. Topics include prompt injections, safety alignment and guardrails, privacy and confidentiality, and interpretability. Other topics closer aligned with the student's research may also be considered.

Salary not listed

We are seeking a Senior Fullstack Member of Technical Staff to join our Engineering team. In this role, you will be instrumental in building the product and systems that translate simulated behavior into real product decisions. You will work across the entire technology stack, connecting complex backend systems, including multi-agent simulations and evaluation pipelines, to frontend experiences that customers rely on for critical decision-making. This is an opportunity to own and build core platform features, translate agent behavior into product functionality, develop system visibility and trust tooling, and shape user interaction with simulations.

$175k - $200k

General Motors is seeking a Principal Software Engineer to lead the technical vision for their next-generation In-Vehicle AI Assistant platform. This role focuses on cabin intelligence, voice interaction, and conversational AI, spanning the Android Automotive OS (AAOS) client application layer, cloud AI orchestration pipelines, and backend service integration. You will shape the multi-year technical strategy, working across Cloud AI/ML, In-Cabin UX, Vehicle Platform, Security, and Infrastructure teams to build a scalable ecosystem. This is a high-impact opportunity to define the assistant experience for millions of vehicles worldwide.

$239k - $366k

Glean is seeking a Software Engineer to join our Platform Infrastructure team, which focuses on customer setup and deployment, particularly in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and transform deployment workflows into reliable, repeatable productized experiences for customers. This role is ideal for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions.

$200k - $270k

Together AI

As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to strategic customers who are using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. You will work alongside Solutions Architects as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute required. Your role is crucial in ensuring the successful delivery of post-training Proofs of Concept (POCs), driving adoption of the fine-tuning and RL platform, and translating customer goals into measurable improvements in model quality. This position directly impacts customer success, company growth, and the enhancement of our core platform.

$270k - $300k

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

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

Salary not listed

Sieve

Sieve is seeking its first Robotics Researcher to lead the training and evaluation of world-action models (WAMs) and 3D perception systems. This role focuses on understanding how data shapes robot capabilities, connecting data curation and labeling to measurable gains in robot learning. You will manage projects from inception to completion, identifying model shortcomings, determining data needs, setting up experiments, and testing results on unseen tasks and environments. A significant portion of this work involves 3D, transforming raw multimodal and egocentric video into actionable data for robot learning by incorporating geometry, pose, and action. Simulation will be used as a tool for evaluation and augmentation when beneficial, but not as the primary focus.

Salary not listed

Inworld is a research lab and inference provider focused on real-time AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, real-time workloads. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more, serving over 10 trillion LLM tokens per month. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their experience in building, breaking, and understanding complex systems.

$250k - $300k

OpenAI

The ChatGPT Learning team is building the next generation of learning experiences within ChatGPT, aiming to support sustained learning and progress beyond individual questions. This role involves leading the design and development of products that leverage AI to make powerful learning tools more accessible, helping millions of users understand the world, develop skills, and pursue their goals. The work combines product engineering, design, AI research, and education to serve learners globally. As a Principal Software Engineer, you will be hands-on across the full stack, building polished interfaces and scalable backend services, and driving product and design decisions with cross-functional partners to translate ambiguous opportunities into clear direction and successful product launches.

$459k - $536k

NVIDIA is seeking a deeply technical, creative, and hands-on Senior full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This role involves working with concepts of RAG and agentic AI to build AI products using state-of-the-art agentic paradigms, third-party platforms, and open-source repositories. As a key leader, you will shape the architecture, development, and scaling of our software systems, collaborating with Cloud, AI/ML, and Generative AI teams in a multifaceted and agile environment to meet evolving business needs.

$248k - $391k

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments. Potential focus areas include sensor fusion, structured perception, ML planning and trajectory generation, local planning and controls, and guardrails and integration.

Salary not listed

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

Capital One is seeking Machine Learning Engineers passionate about leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to drive AI transformations and scale production models. In this role, you will be part of a collaborative team focused on solving complex business problems in a fast-paced, iterative environment. You will have the opportunity to design, build, and deliver ML models and components, inform ML infrastructure decisions, and automate tests and deployment.

$179k - $205k

Glean is seeking a Senior Site Reliability Engineer to enhance the reliability, scalability, and operational excellence of its production services. This role involves designing, building, and operating resilient cloud infrastructure, improving service reliability against defined SLOs, and assisting teams in responding to production issues through effective observability and incident management practices. You will provide technical expertise for system and architectural decisions and collaborate with engineers across the organization to deliver dependable systems. Glean operates in a hybrid cloud environment and faces complex distributed-systems challenges due to its rapid growth. Your work will involve using software engineering and SRE skills to automate tasks, build tools, and improve deployment, monitoring, and on-call workflows, ultimately helping Glean scale and provide a reliable customer experience.

$200k - $260k

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $330k

Capital One is seeking passionate Machine Learning Engineers to join their Machine Learning Foundations (MLX) team. In this role, you will be at the forefront of driving AI transformations and scaling production models across the company. You will collaborate with product and data science teams to design, build, and deliver ML models that solve real-world business problems. This position involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies in a fast-paced, collaborative environment.

$179k - $205k

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments. Potential focus areas include sensor encoders and fusion, structured perception, ML planning and trajectory generation, local planning and controls, and guardrails and integration.

$142k - $142k

Salesforce is seeking a Software Engineer to join the brand-new Software Factory team. This team is responsible for industrializing software development by building a platform that enables coding agents to perform real work on the company's codebase. The role involves creating remote sandboxes for agents to run builds safely, developing orchestration for agent tasks triggered from various platforms like Slack and GitHub, and implementing observability to ensure the trustworthiness of agent output at scale. The team's strategy is to leverage existing off-the-shelf coding agents rather than building their own, focusing on the surrounding factory infrastructure. As one of the first hires, you will have significant influence in shaping this platform from the ground up, working closely with the CTO on architecture, build-vs-buy decisions, and future priorities, while delivering value to internal customers from day one.

$173k - $314k

Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Glean is seeking a Software Engineer to help build a scalable software-based platform, including enterprise search solutions. This role involves working across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products. You will contribute to a Work AI ecosystem that powers intelligent search, an AI Assistant, and scalable AI agents, leveraging a broad range of enterprise data and flexible LLM choices. The position offers the opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$215k - $279k

Athelas

Commure is building the AI Operating System for healthcare, transforming administrative burdens in care delivery, documentation, and financing. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM to streamline healthcare operations. We are seeking a Software Engineer to develop the systems powering our AI Voice Agents, which handle patient interactions like scheduling, cancellations, and FAQs by integrating with EHR and telephony systems in real-time. This role offers significant growth opportunities within a fast-paced, impactful team.

$170k - $230k