AI Engineering Jobs in San Francisco

Capital One is at the forefront of leveraging AI to transform banking, creating responsible and reliable AI systems that enhance customer experiences. We are 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 this vision, advancing the state of the art in AI engineering and deploying proprietary solutions that 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.

$197k - $225k

As an intern on the AV ML Infra team, you will contribute to the development and optimization of our machine learning infrastructure for autonomous vehicles. This role involves improving data processing pipelines, scheduling, accelerating model training and inference workflows, and enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to increase reliability, reduce latency, and speed up iteration cycles for autonomous driving performance.

$115k - $142k

NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.

$152k - $288k

The AV / AI Capacity & Performance Engineering team provides essential compute, networking, storage, and AI infrastructure to support AI and ML innovation across various use cases. The team focuses on building capacity models, enhancing cloud efficiency, supporting vendor planning, and developing tools to provide visibility into capacity, demand, utilization, reliability, and cost for engineering stakeholders. Our Capacity Intelligence system serves as the central operational interface for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights, with ongoing expansion to include new cloud providers and advanced modeling capabilities. As an intern, you will contribute to the development and optimization of this system, focusing on integrating new functionalities and developing scalable infrastructure, tools, and insights to support model training, simulation, CI build, and data generation.

$115k - $142k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on building trustworthy and reliable AI systems that are transforming the banking industry. This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging a broad stack of technologies to analyze vast amounts of data, and building AI foundation models through all phases of development. You will engage in high-impact applied research, translating complex work into tangible business goals, and collaborating with senior researchers on novel methods and findings. The ideal candidate is innovative, creative, and technically adept, with a deep understanding of AI methodologies and experience building large deep learning models.

$219k - $250k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses, focusing on responsible and scalable AI solutions.

$230k - $262k

Distyl AI

Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.

$200k - $250k

You.com is seeking a Developer Evangelist to build in public and make their Search, Contents, and Research APIs the go-to retrieval layer for AI agents, coding tools, and agent frameworks. In this role, you will create demos, sample applications, integrations, and open-source contributions, sharing your work through various developer channels like GitHub, Discord, Reddit, and livestreams. You will also be the technical and creative lead for hackathons and developer events, driving developer adoption and community engagement. This position is part of the Developer-Led Growth (DLG) team, with success measured by tangible developer adoption and retention.

$180k - $220k

Join a team where your work directly shapes how machine learning is applied at scale across the firm. You’ll partner with product, engineering, and data teams to take ideas from experimentation through production, improving outcomes through thoughtful model development, evaluation, and operational excellence. As an Applied AI and Machine Learning Lead, you will drive the design and delivery of machine learning and deep learning solutions that solve meaningful business problems. You will take ownership from problem framing and experimentation through productionization, ensuring solutions are robust, scalable, and measurable. You will also help raise the technical bar through mentorship, strong engineering practices, and a culture of continuous learning.

Salary not listed

OpenAI

We are seeking a Machine Learning Engineer to develop and productionize new classification and evaluation capabilities. This role involves translating open-ended questions about model behavior into well-defined ML problems, building effective methods, and rigorously assessing their reliability. You will own classifiers throughout their lifecycle, from supervised fine-tuning and distillation to evaluation, deployment, and production inference. Collaborating closely with researchers to identify valuable problems and with software engineers to scale promising approaches will be key to success.

$381k - $510k

Brex

Brex is seeking a Data Engineer to join their intelligent finance platform. In this role, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You will collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You will also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

$121k - $151k

Wayve is building the leading AI platform for autonomous driving, developing an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the Driving team, which owns the core end-to-end driving model that directly shapes how Wayve's vehicles behave on the road. The team iterates quickly, identifying and resolving issues through data, model, and evaluation changes, and is central to Wayve's Robotaxi launches. This position offers a unique opportunity to lead a small team while remaining deeply technical, contributing to the development of embodied intelligence for real vehicles.

$370k - $395k

Dodo

Dodo is seeking a Senior ML Engineer to enhance the intelligence, speed, and reliability of healthcare's front desk agents. This role involves owning the models, evaluation, and training loops that process millions of real conversations daily, continuously improving the system based on real-world interactions. You will be instrumental in making Dodo's agents smarter and more effective in handling patient communications.

Salary not listed

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM Core and Agentic AI. This role involves creating trustworthy and reliable AI systems that are transforming the banking industry. You will partner with cross-functional teams to deliver AI-powered products, leverage a broad stack of technologies including PyTorch and Huggingface, and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, translate complex work into tangible business goals, and collaborate with senior researchers on novel methods and findings.

$219k - $250k

Expedia Group is seeking a Senior Machine Learning Scientist to join the Unified Personalization Service team. This team is responsible for building Expedia Group's centralized, real-time personalization engine across all brands and channels, powering experiences like ranking, recommendations, and retrieval. This role involves shaping the next generation of deep learning systems for personalization, including recommendation, ranking, retrieval, traveler understanding, sequential modeling, and foundation-model-based personalization. It's a hands-on applied science and engineering position focused on translating research into production-quality systems, influencing technical direction, and mentoring others.

$187k - $262k

Dodo

Dodo is building the AI operating system for healthcare, impacting millions of patients and thousands of practices. This role involves working across voice, agents, integrations, data, and product to develop systems that power AI agents and are used daily by healthcare teams. You will have significant autonomy to own large parts of the product and infrastructure, from real-time systems to user-facing features.

Salary not listed

Capital One is at the forefront of leveraging AI to transform banking, creating responsible and reliable AI systems that enhance customer experiences. The Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions and platforms that empower teams across the company. This role involves partnering with cross-functional teams to deliver AI-powered products, design and develop AI software components, and invent state-of-the-art foundation model optimization techniques. You will contribute to the technical vision and long-term roadmap of foundational AI systems, owning end-to-end architecture and ensuring ethical alignment, maintainability, and observability.

$197k - $225k

Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, used by major pharmaceutical companies to power drug discovery programs. AI is revolutionizing life sciences, and our team is at the forefront of this transformation. We train frontier models that understand the fundamental principles of biochemical structure and interaction, coupled with a computational workspace that enables scientists to iterate on molecules from concept to medicine. This accelerates the development of novel therapeutics. This role focuses on building the AI platform that empowers scientists to direct research programs using agents. As Chai's models advance, scientists will increasingly focus on core scientific problems and hypotheses, delegating subtasks to intelligent agents. This requires creating innovative abstractions that facilitate seamless collaboration between people, agents, and Chai's foundation models.

Salary not listed

Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that consolidates tools for researchers, enabling them to manage literature, databases, scientific computing, analysis, and output generation within a single environment. This role offers the opportunity to shape a new product category, influencing both the product and its architecture. You will act as a technical leader, focusing on the end-to-end researcher experience, collaborating with internal research teams to integrate model capabilities into production, and taking ownership of future product development.

$405k - $485k

GM R&D is seeking an outstanding early-career researcher to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. This role is designed for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The researcher will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas, connecting theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.

$128k - $279k

As an engineer on the Data Team, you will operate as a technical leader on the foundational layer of the platform. This team owns Qualified's data end-to-end, including leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and AI agent depends on this layer being correct, fresh, and fast. This is a newer team with significant greenfield opportunities, where you will shape the architecture of core pipelines and data models, set patterns for other teams, and transform inherited systems into a coherent platform. You will also directly contribute to the intelligence of AI agents by ensuring the data they rely on is accurate and flows seamlessly between systems.

$173k - $260k

NVIDIA is seeking an exceptional computer vision and deep learning intern researcher for its spatial intelligence lab. The team focuses on research that pushes boundaries and has real-world impact. Interns will engage in research, design, and implementation of methods related to key topics such as generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and vision-language models. A significant outcome of the internship is the publication of original research, alongside collaboration with internal and external researchers.

$0k - $0k

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k