AI Engineering Jobs in San Francisco

We are seeking a hands-on Data Engineer to contribute to the development and scaling of our modern data platform. This role involves close collaboration with Finance, Engineering, Product, and Analytics teams to build robust, high-performance data pipelines and systems. You will work with both batch and real-time data processing technologies, ensuring data quality, accessibility, and usability across the organization. A key aspect of this role will be enabling data activation, ensuring high-quality data flows into business tools and powering next-generation AI-driven applications, including agent-based systems, by establishing strong data foundations and pipelines. This is an excellent opportunity for individuals who thrive on solving end-to-end data challenges, from ingestion to insights.

$180k - $220k

We are seeking a Senior Machine Learning Engineer to join our Clinical Team. In this role, you will be responsible for owning the tissue-class segmentation and labeling models for our ultrasound CT clinical analysis layer, along with the pipelines that support their training and verification. You will retune models as image inputs are updated and clinical indications expand, and define training/evaluation pipelines, datasets, and metrics from the ground up. A key part of this role involves collaborating with data labeling contractors, expert clinicians, and internal teams on labeling specifications, quality control, and dataset versioning. You will also play a crucial part in productionizing models into a versioned, HIPAA-bound analysis service, ensuring reproducible inference, per-prediction confidence, drift monitoring, and safe fallbacks.

$237k - $250k

NVIDIA is seeking a Senior Integration Engineer to join their autonomous driving team. This role focuses on accelerating the development, integration, evaluation, and deployment of end-to-end driving models. You will collaborate across model development, data, simulation, systems software, and vehicle engineering teams to transform evolving AI models into reliable autonomous driving functionality on NVIDIA's computing platforms. The position involves working with large-scale training infrastructure, simulation environments, and production vehicle platforms.

$152k - $288k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform how associates work and customers interact with the bank. The IFX team builds and deploys proprietary AI solutions, advancing the state of the art in AI science and engineering, and empowering other teams across Capital One with scalable and responsible AI models and platforms. You will contribute to reimagining how banking services are delivered by leveraging emerging AI capabilities.

$230k - $262k

Salesforce is seeking an SVP, Research & Insights to lead Research across Experience Design and build a continuous intelligence capability. This executive will integrate research further upstream into enterprise and product strategy, extending evaluation through implementation and production. The role involves leading four key capabilities: Enterprise Experience Intelligence + Foresight, Portfolio Research + Insights, Human-Agent Research, Evaluation + Measurement, and Research Operations + Knowledge. The goal is to shape enterprise decisions with timely, credible, and consequential evidence, ensuring research operates as an enterprise decision system that influences product strategy and investment.

$399k - $453k

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 enhance customer experiences in banking. You will partner with data scientists, software engineers, and product managers to deliver AI-powered products, leveraging technologies like PyTorch and Hugging Face. The position requires building AI foundation models through all development phases, from design to implementation, and engaging in applied research to push the boundaries of AI for customer-facing applications. You will translate complex technical work into tangible business goals and lead research initiatives that bridge model development with production deployment.

$263k - $300k

Capital One is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to bringing our AI vision to life. We advance the state of the art in AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers and empower teams across the company with AI capabilities in responsible and scalable ways.

$230k - $262k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform how associates work and customers interact with the bank. The IFX team advances the state of the art in AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

$230k - $262k

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 lead in applying AI for personalized customer experiences, from fraud detection to real-time customer support. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing this AI vision. The team collaborates across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver significant business value and impact millions of customers. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

$197k - $225k

Cerebras

Cerebras Systems is seeking a Senior Staff AI Accelerator Performance Architect to guide the evolution of their next-generation AI systems. This role involves connecting real-world AI workloads to architectural behavior, identifying critical bottlenecks, quantifying potential improvements, and influencing hardware and software roadmaps through rigorous performance analysis. The ideal candidate will possess deep knowledge of hardware architecture, gained through experience in hardware, compiler, kernel, or system performance work, and thrive at the intersection of applications, kernels, architecture, and system performance. This position focuses on performance evaluation and architectural recommendations, rather than production RTL design.

$175k - $275k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training AI models at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses to build them. This role involves building Prime Agent, an open-source coding and research agent, and will span product development and underlying agent systems. You will own features end-to-end, from design through deployment and monitoring, shipping at the pace of an early-stage company tackling a critical problem in AI.

$150k - $300k

Anthropic

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

$500k - $850k

Fieldguide is building a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners. This role is a product-focused, 0→1 opportunity to own agent quality and ship agents that perform real audit work. You will collaborate closely with practitioners, potentially owning major agent areas end-to-end or setting technical direction for agentic audit work. The position is open to all levels, with specific responsibilities and scope calibrated during the interview process based on experience.

$170k - $300k

Thinking Machines Lab

At Thinking Machines, we build tools that empower individuals to customize AI models for their specific needs, including the ability to train model weights. In this role, you will focus on frontier customization techniques and contribute to developing a leading post-training engine called Tinker. Your work will involve a comprehensive understanding of Reinforcement Learning (RL) science, and your findings will directly influence Tinker's training defaults, API design, and the open-source Tinker Cookbook. You will collaborate with internal research teams and contribute to open science initiatives for external partners.

$350k - $475k

As a Forward Deployed Engineer at Handshake AI Enterprise, you will embed directly within enterprise customer environments as part of a small, expert team. Your role involves deeply understanding each customer's business, including their workflows and bottlenecks, to translate this knowledge into production-grade AI agents that measurably transform their operations. This is a full-stack role where you will own the entire process from defining the solution, building and deploying agents, designing evaluations, and iterating until performance targets are met. Over time, you will develop genuine domain expertise in your customer's vertical, leveraging this knowledge to continuously improve AI solutions. This opportunity is ideal for individuals who have a proven track record of building AI applications that work in the real world and are eager to tackle high-stakes challenges with superior data and strong lab relationships.

$220k - $300k

This role is focused on building the core database infrastructure that empowers knowledge workers to leverage scalable databases without needing to be a Database Administrator. You will be a hands-on technical leader, influencing architectural direction and the product roadmap as a new product moves from early alpha to general availability. This involves working directly with early customers to shape critical technical and product decisions, and then scaling these systems as adoption and workloads grow. The work is backend-leaning but spans the full stack, potentially involving the provisioning and management of customer Postgres instances, designing safe schema evolution, and optimizing complex query execution. You will also translate these systems into the product experience, improving table loading, user understanding of performance, and agent data interactions. Ultimately, you will help shape both the architecture and the product by identifying the best solutions, whether through improved abstractions, better defaults, or rethinking user interactions, and evolving them based on usage.

$234k - $352k

The Conversation Engine team is seeking a Staff Software Engineer to scale and optimize a cutting-edge Generative AI product that provides instant assistance to enterprise users. This role offers a unique opportunity to work at the core of Moveworks' Generative AI product, focusing on its scalability and optimization for the enterprise solution space. You will be encouraged to bring innovative ideas to solve complex problems, collaborating closely with machine learning experts and cross-functional teams. The challenge involves scaling the conversation engine to support hundreds of millions of users across multiple chat channels and use cases, while enhancing the end-to-end product infrastructure with high engineering quality and robustness.

$176k - $308k

Retool

Retool is seeking a Software Engineer to join the Automations team and help build the next generation of automation tools. This role involves working on systems that power Retool Workflows and Agents, enabling customers to automate business processes, orchestrate complex workflows, and build AI-powered applications. You will partner closely with product and design to translate ambiguous problems into scalable systems and intuitive developer experiences, owning projects end-to-end from technical design through implementation and iteration. The Automations team is focused on extending Retool into backend automation and AI agents, allowing customers to orchestrate mission-critical workflows across their businesses.

$164k - $306k

Pallet is building AI Agents to transform the physical economy, a massive global industry. We've raised significant funding from top investors and are experiencing rapid revenue growth. Our mission is to automate manual workflows in the supply chain, increasing efficiency through our platform and AI Agents. We are looking for Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate on building our AI product from the ground up. This role offers the opportunity to shape the future of logistics AI and contribute to a company targeting a $10 billion valuation.

$175k - $265k

Modal is building the next-generation infrastructure layer for AI, enabling companies to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. Our platform provides instant GPU access, sub-second container starts, and native storage, supporting category-defining customers. We are seeking a leader to own the direction and execution of our LLM inference platform, a critical component of our offering that delivers frontier performance with best-in-class elasticity and developer experience. This is a hands-on leadership role where you will split your time between technical contributions, product shaping, and people management, setting direction, removing blockers, and fostering a strong engineering culture.

$300k - $350k

Abundant

Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. As a Member of Technical Staff, Alignment, you will be instrumental in ensuring that alignment is a core component of all our work, from the code we deploy and the runbooks we write to the papers we publish. This role involves testing models in advanced environments, identifying and mitigating potential risks like reward hacking and deception, and building robust tools to monitor and secure AI agents.

$250k - $450k

Anthropic

The Encodings Infra team at Anthropic maintains the libraries that engineers and researchers use to encode text and multimodal data for Claude. This team also defines Claude's prompt structure, including how user turns are represented and how Claude interacts with tools. As a Software Engineer on this team, you will be responsible for the design and upkeep of these libraries, ensuring their APIs are intuitive, performance is optimized, and abstractions are robust. Your work will span across various systems, from pretraining to finetuning and the API, requiring close collaboration with researchers and engineers to facilitate the rapid transition of new encoding ideas from experimentation to production.

$320k - $405k

Fieldguide is building a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners. The Foundation Agents team is responsible for the long-horizon agents that power the Fieldguide AI platform, working at the frontier of AI product development. This role involves focusing on agent knowledge, evaluations, and improving quality and reliability at scale for agents that perform real-world work.

$190k - $220k

Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to Grok models and their suite of applications. The RL Environments team is seeking a Software Engineer to build systems that transform real-world data into high-quality environments and tasks for reinforcement learning. This role involves creating more realistic training environments and owning the platforms and quality layers for trustworthy data production at scale. You will collaborate closely with ML Platform and research teams to convert various data sources into training-ready environments, making high-quality RL data more accessible for model training efforts.

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