AI Engineering Jobs in San Francisco

Lila is revolutionizing biomedicine by integrating large-scale automated data generation with advanced AI. We are building a system where AI, automation, and experimental biology work together synergistically. This role focuses on connecting that work to human medicine by developing systems that evaluate the biological validity of clinical programs. You will build the infrastructure to assess mechanistic support, ground biological mechanisms in human data, and evaluate clinical trial designs against proposed mechanisms. The goal is to create scalable systems that can rigorously assess and forecast program outcomes, ensuring scientific integrity and enabling public dissemination of findings.

$268k - $384k

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

Lila is revolutionizing medicine by integrating automated large-scale data generation with scientific superintelligence. We are building a system where AI, automation, and experimental biology work together to tackle complex medical challenges. The Life Science AI team focuses on developing machine learning systems for analyzing biological data, combining advanced ML with cutting-edge biology. This role is crucial for building domain models that understand perturbation biology, genetics, and high-dimensional experimental data, linking biological mechanisms, experimental interventions, and therapeutic opportunities. The work involves not just learning from data but also guiding data generation and ensuring model outputs are interpretable and actionable for scientists and downstream systems.

$268k - $358k

Lila Sciences is developing a platform where AI and automation collaborate to address complex challenges in medicine, specifically within Life Sciences AI. The AI for Protein Engineering team focuses on creating and implementing generative and predictive models to advance biomolecule design programs from initial concepts to validated leads. This role is for a senior individual contributor specializing in computational biologics design, working on active protein engineering projects and enhancing Lila's capabilities in designing, evaluating, and learning from biomolecular data. The position is at the nexus of machine learning, protein engineering, and therapeutic design, requiring deep ML expertise, a strong understanding of protein biology, and a proven ability to deliver computationally designed, validated biologics.

$268k - $358k

Lila Sciences is developing a platform where AI and automation work together to tackle complex problems in medicine. The AI for Protein Engineering team focuses on creating and using generative and predictive models to advance biomolecule design programs from initial concepts to validated leads. This role is at the intersection of machine learning, protein engineering, and therapeutic design, requiring strong ML fundamentals, a curiosity for protein biology, and an interest in computationally designed, wet-lab-validated biologics. You will collaborate with experimental scientists, AI researchers, and platform teams to build models and workflows that support Lila’s autonomous science platform.

$176k - $304k

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine, specifically in protein engineering. The AI for Protein Engineering team develops models and systems to advance biologics from design to validation. This role involves designing molecules for active biologics programs, developing reasoning capabilities for drug discovery, and creating evaluation infrastructure to ensure design workflows are effective and generalizable across programs. The position requires owning the operational aspects of computational design workflows, including reproducibility, throughput, and inference cost, and translating domain scientist judgment into machine learning objectives.

$176k - $304k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.

$204k - $310k

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine. Within Life Science AI, Machine Learning engineers build and operate systems that transform foundation models into production capabilities for automated scientific discovery. This Principal ML Engineer role focuses on designing, building, and scaling the ML infrastructure behind these models, with current work in structure prediction, co-folding, sequence design, and multimodal scientific reasoning. You will own critical systems end-to-end, from training pipelines and distributed compute to model deployment and integration into Lila's discovery engine, shaping the technical direction for ML model training, evaluation, and deployment at scale.

$268k - $384k

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine. The Foundation Models team within Life Science AI (LSAI) focuses on developing foundation models that integrate biological sequence, molecular structure, and experimental data to drive automated scientific discovery. This role involves contributing to problem formulation, model design, training, evaluation, and integration into Lila's discovery engine, with a specific emphasis on structure prediction and co-folding for antibody and biologics design. The position is for an individual contributor focused on building deep expertise in structure-aware generative AI for biology, owning research sub-problems, and collaborating with experimental scientists to close the computational-experimental loop.

$176k - $304k

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k

Pallet is building AI Agents to transform the physical economy, a massive global industry. We are a well-funded, high-growth startup with significant revenue growth and a mission to increase the efficiency of the global supply chain by automating manual workflows. Our platform provides end-to-end visibility and control, and our AI Agents integrate directly with customer systems to execute requests in real time. This role is for a Senior Member of Technical Staff, Infrastructure Engineer, focused on solving hard scaling and reliability problems to enable the next order of magnitude growth for Pallet's AI-powered supply chain solutions.

$200k - $265k

Anthropic

As a member of the Applied AI team, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude, advising on architecture design decisions, developing evaluation frameworks, and guiding customers through cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment, combining deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API.

$200k - $320k

Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond, and you'll work closely with AI and Software Engineers to turn validated approaches into production-ready systems. Drata's compliance platform is document-heavy, with various agents and mappers depending on high-quality information retrieval and reasoning.

$157k - $252k

Sygaldry Technologies

Sygaldry Technologies is developing quantum-accelerated AI servers to dramatically speed up AI training and inference. By merging quantum computing with AI, the company aims to accelerate the development of superintelligence and ensure its efficient and affordable operation. Their unique approach involves integrating multiple qubit types into a single, fault-tolerant architecture to achieve the necessary cost, scale, and speed for advanced AI applications. Sygaldry is at the forefront of new discoveries in physics, engineering, and AI, tackling complex challenges with a grounded, optimistic, and rigorous culture. They are seeking individuals passionate about defining the future at the intersection of quantum and AI and driving its global impact.

$125k - $145k

Glean is seeking creative engineers to own and launch user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements, and overseeing greenfield features from inception to launch. You will work within a rapidly growing startup, contributing to systems used daily across major platforms like Microsoft Teams and Zoom. The focus is on shipping agentic capabilities on an open, extensible stack, ensuring enterprise-grade trust and making every employee AI-fluent.

$140k - $265k

Capital One is building responsible and reliable AI systems to transform banking. We are an industry leader in using machine learning for personalized customer experiences and are at the forefront of leveraging AI. Our AI & ML applications bring humanity and simplicity to banking, and we are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. The Intelligent Foundations and Experiences (IFX) team is central to realizing our AI vision. We collaborate with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that are core to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with AI in responsible and scalable ways for maximum impact.

$197k - $225k

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models. We operate at the intersection of software engineering, data engineering, and AI/ML, defining strategies, tooling, and quality controls for reliable training data at scale. This role offers end-to-end ownership of meaningful platform components, growth toward technical leadership, and direct impact on systems enabling the next generation of autonomous vehicle capabilities.

$175k - $261k

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

NVIDIA is seeking a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed. This role is ideal for a student passionate about deep algorithm work and translating ideas into functional systems.

$0k - $0k

Anthropic

Reinforcement learning is crucial for training AI models like Claude to reason, write code, and act autonomously. At scale, RL training involves complex distributed systems running across numerous accelerators and hosts. As an engineer in RL Engineering, you will be responsible for securing this expanding system. This is a hands-on role where you will work directly within the RL codebase and its underlying infrastructure, collaborating with the engineers and researchers who develop and utilize it. The system's rapid evolution, driven by research advancements, requires security solutions that maintain pace without compromising performance or development velocity. We are seeking candidates with expertise in either security engineering for large-scale ML systems or ML systems/research engineering with a strong interest in security.

$320k - $405k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

Salary not listed

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company aims to be at the forefront of AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing this vision by advancing AI science and engineering, and deploying proprietary solutions that deliver value to millions of customers. The team's AI models and platforms empower other departments to enhance their products responsibly and scalably. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses.

$230k - $262k