AI Engineering Jobs in San Francisco

Sierra

Sierra is seeking an Applied Research Intern to join their team focused on improving the performance, speed, and cost-efficiency of AI agents. This internship offers a unique opportunity to work on a research project from conception to potential publication, with the guidance of a mentor. The intern will tackle real-world AI agent challenges, conduct rigorous experiments, and contribute to advancements in agent evaluation, reasoning, and post-training methods. The role is ideal for individuals passionate about making AI agents more reliable and effective, with the potential for their research to impact millions of users.

Salary not listed

Perplexity AI

Perplexity is seeking an Engineering Manager to lead and grow its highly driven Agent Engine team. This team designs and builds powerful agentic experiences, including Perplexity Computer, the Comet ecosystem, and the Agent API. The role involves bringing AI expertise, sharp product intuition, and strong leadership skills to advance the frontier of what agents can accomplish for millions of users. The manager will lead, grow, and support the team in solving open problems in AI, such as designing agent harnesses, leveraging action and decision models, providing excellent cross-environment experiences, developing secure agentic capabilities, and optimizing data representations for agent-environment interactions.

$300k - $485k

Perplexity AI

Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI.

$250k - $405k

Perplexity AI

Perplexity is seeking energetic researchers and engineers to join its Secure Intelligence Institute (SII), a flagship research center focused on advancing security, privacy, and trust in frontier intelligence. The SII aims to push the boundaries of AI security research, implement these advancements into Perplexity's systems, and share knowledge to benefit the wider AI ecosystem. As a member of SII, you will conduct original and impactful research to enhance the security and privacy of frontier intelligence systems. Your work should be both theoretically rigorous and practically applicable to improving the systems used by millions daily. You will leverage insights from operating large-scale AI systems and translate research findings, both internal and external, into practical improvements that safeguard Perplexity's users.

$220k - $405k

Perplexity AI

Perplexity is seeking software engineers to join our Training Infrastructure team. This team is responsible for large-scale RL and agent evaluation platforms that enable the company to train state-of-the-art models and optimize agent harnesses. As a full-stack engineer on this team, you will build distributed systems that orchestrate AI workloads across global-scale compute infrastructure, define novel user and agent interfaces for designing, managing, and launching experiments, and create tools that make experiment results legible to humans and agents alike. A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.

$220k - $405k

Perplexity AI

The AI Acceleration team is dedicated to making Perplexity the premier platform for building and deploying AI agents. We develop the essential infrastructure that engineers and agents rely on, while also pioneering novel methods for agents to write, test, review, and ship code. Our work empowers teams to transition from concept to production more rapidly, without sacrificing quality or reliability. We oversee the entire development lifecycle at Perplexity, from the initial coding environment to the production deployment systems. This encompasses local and cloud coding environments, build and test infrastructure, code review processes, and release management. Furthermore, we are constructing autonomous software development systems where agents handle increasingly complex engineering tasks, supported by explicit evaluation, verification, and safety protocols. We are responsible for both the underlying infrastructure and the workflows that ensure these systems are effective.

$250k - $405k

Anthropic

Anthropic is seeking experienced, product-minded backend engineers to lead the development of systems powering user experiences across their API, Claude Code, and Claude.ai. In this role, you will independently scope complex, multi-month projects, guide technical and product decisions, and drive alignment with product, engineering, and research teams. You will make critical architectural decisions impacting the reliability and scalability of systems serving hundreds of thousands of users, and design processes to enhance team effectiveness. You will remain hands-on with code and models, contributing directly to Anthropic's mission of creating reliable, interpretable, and steerable AI systems.

$405k - $485k

The RL infrastructure team is looking for an engineer to help develop our RL training framework. This role involves designing and implementing the systems that support all RL workloads at SpaceXSI, from small-scale experiments to production training runs. You will be responsible for profiling, debugging, and optimizing the end-to-end training performance, as well as improving the scalability and observability of the RL stack.

$180k - $440k

Glean is seeking a product-minded, hands-on, and technically strong Tech Lead Manager to establish and lead its Product Growth engineering function. This role offers the chance to shape a new growth engineering capability at a critical time for Glean as it expands the reach and impact of its Work AI platform. You will operate at the intersection of product engineering, data, experimentation, and applied AI to drive user discovery, adoption, and engagement with Glean. The Product Growth team is responsible for the complete user journey, from initial discovery and quick value realization to habit formation and expanded product usage. This encompasses the entire lifecycle from invitation and first sign-in through activation, onboarding, engagement, re-entry, and broader adoption across teams and functions. The team focuses on key entry points and touchpoints, including login and setup flows, the home page, navigation, desktop and browser experiences, in-product education, lifecycle communications, and product-led expansion, all aimed at making Glean more discoverable, understandable, and regularly used.

$250k - $300k

Join an Applied Artificial Intelligence and Machine Learning team that takes Generative AI and Machine Learning applications from prototype to production for a Global Banking business. You will work in a collaborative, inclusive environment with opportunities to build technical depth. As a Senior Associate–Applied Artificial Intelligence / Machine Learning, you will help solve exciting business challenges for a Global Banking business within a leading global financial institution. You will work with product, business, and engineering partners to turn business problems into AI/ML solutions, balancing accuracy, latency, cost, and risk, and deliver them reliably in a regulated environment. You will apply sound technical judgment to balance business needs with technical constraints, contribute to experimentation and validation, and help productionize scalable and trustworthy solutions. You will also engage in knowledge sharing through enterprise machine learning communities.

Salary not listed

Vercel

Vercel is seeking a Machine Learning Engineer for its Trust & Safety Engineering team. This role focuses on building and operating production systems to detect and prevent platform abuse at scale. It's an engineering-intensive position, with approximately 80% of the time dedicated to writing and deploying production code, including services, pipelines, and infrastructure, and 20% focused on modeling. The goal is to take detection and classification approaches from initial prototypes to robust, production-ready systems.

$208k - $312k

Stripe

Stripe is seeking PhD machine learning engineering interns for the summer of 2027 to contribute to critical projects that enhance Stripe's products. Interns will focus on areas such as foundation models for fraud detection, enhanced support, and user behavior prediction. This role offers an exceptional opportunity to work on challenging problems at the intersection of finance, technology, and data, including creative projects like the Stripe Assistant and the Stripe Foundation Model, leveraging machine learning to revolutionize business interactions with financial services.

Salary not listed

Asana

Asana's AI Teammates are autonomous agents designed to enhance enterprise workflows by reasoning, acting, and proactively driving work forward. The AI Teammates Platform (AITP) team is responsible for the execution engine and platform layer that ensures these AI Teammates are effective, reliable, and scalable. This involves building core systems for agentic execution, including model evaluation, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and platform APIs that power AI across Asana's engineering efforts. The team focuses on creating a composable foundation rather than a monolithic feature, enabling AI Teammates to reason, act, and autonomously improve.

$171k - $190k

CoreWeave

CoreWeave is seeking a Junior Software Engineer to join their Inference team. In this role, you will be responsible for the end-to-end ownership of a production service, including feature development, maintenance of dashboards and alarms, and operational improvements. You will collaborate with cross-functional teams to enhance key service level indicators and contribute to the development of a cutting-edge inference platform that powers generative AI and real-time applications at scale.

$120k - $160k

Scale AI

Scale is at the forefront of the AI revolution, developing data engines and technologies that power the world's leading LLMs and generative models. This role is on the Platform Engineering team, responsible for the foundational data infrastructure that supports these cutting-edge AI products. You will lead the design and development of core data storage, streaming, caching, and indexing platforms, gaining exposure to the rapidly evolving AI landscape across various industries. The work involves driving architecture, implementation, and reliability of these critical systems, collaborating with stakeholders, and mentoring junior engineers.

$252k - $315k

Fin, now part of Salesforce, is seeking Forward Deployed Engineers to bridge the gap between customer needs and product innovation. In this role, you will work hands-on with strategic customers, partnering closely with R&D and Go-to-Market teams to design and deliver high-impact solutions. You will go beyond implementation to shape product direction, influence roadmap decisions, and ensure Fin delivers real business outcomes in complex, real-world environments. This role offers a rare opportunity to combine technical excellence with real customer impact for those excited by ownership, creativity, and solving ambiguous problems at the frontier of applied AI.

$180k - $237k

Liquid AI, a company spun out of MIT CSAIL, is developing general-purpose AI systems designed for efficient deployment across various targets, from data centers to on-device hardware. They focus on low latency, minimal memory usage, privacy, and reliability, partnering with enterprises in consumer electronics, automotive, life sciences, and financial services. The Pre-Training Data team is central to this mission, responsible for sourcing, filtering, synthesizing, and mixing data that will be used to train Liquid Foundation Models. As public data sources become less effective, the quality of models increasingly relies on purpose-built datasets and understanding the impact of data changes on model performance. This role treats data as a research problem, requiring close collaboration with pre-training researchers to run experiments, answer data-related questions, and build pipelines that feed into training runs.

Salary not listed

Join NVIDIA's ambitious team and be part of a legacy of innovation! We are seeking a Principal SW Architect, Networking to build the future of AI data-centers. This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. Your work will drive innovation and contribute to large-scale production, making a real impact on the world!

$272k - $431k

Accenture

Accenture Flex offers flexible, project-based work powered by Accenture, a global professional services leader. As part of this team, you will apply your skills to drive business transformation for leading organizations, working with a diverse network of professionals leveraging emerging technologies to solve complex business challenges. You will receive competitive compensation, access to benefits, and world-class learning resources, with the advantage of working locally onsite at client projects.

$62k - $72k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 12-week summer internship program designed to develop the next generation of AI builders. Interns will spend 12 weeks embedded in one of four disciplines (Product Engineering, Product Management, FDE/Builders, or DET/Customer Zero), tackling real technical, product, or customer challenges and building with frontier AI technologies. You will work alongside experienced researchers, engineers, product managers, and technical leaders, with access to AI-native development tools and opportunities to take meaningful ownership of your work. While gaining hands-on experience in one discipline, you will also collaborate with interns across other disciplines on a cross-functional capstone project, culminating in a final presentation at Demo Day.

Salary not listed

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, from supercomputers to Grok models and a suite of applications. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

$180k - $440k

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role bridges production machine learning, LLM-powered systems, and product engineering, focusing on developing, evaluating, and refining assistant experiences for reliability and usefulness within enterprise workflows. You will tackle applied challenges in agent quality, evaluation, personalization, retrieval, and orchestration, with an emphasis on shipping production systems and improving the assistant's capabilities over time through enhanced signals, feedback loops, and end-to-end execution.

$180k - $205k

Vercel

As a Senior Forward-Deployed Engineer on the Professional Services team, you will embed with developer teams at strategic enterprise customers to lead frontend migrations, performance work, and production AI builds. Success looks like production code live in customer environments, customer teams able to extend it on their own, and a wider partnership with each account. This is a remote role open to candidates in the US, with occasional travel to customer sites.

$137k - $207k

Stripe

Stripe is seeking Master's machine learning engineering interns for the summer of 2027. This internship offers a unique opportunity to contribute to critical projects that enhance Stripe's products, with a focus on foundation models for tasks like fraud detection, customer support, and user behavior prediction. Interns will tackle complex challenges at the intersection of finance, technology, and data, working on innovative projects such as the Stripe Assistant and the Stripe Foundation Model to transform how businesses engage with financial services and data.

Salary not listed