AI Engineering Jobs in San Francisco

Together AI

This is a unique sourcing role for individuals with a prior engineering background who want to leverage their technical expertise to identify and attract top engineering talent. You will be responsible for proactive outbound sourcing of the top 1% of technical talent in key hubs, evaluating their work, and engaging them through outreach campaigns. The role requires the ability to assess technical skills by reviewing profiles and conducting in-depth technical first calls. You will report to the hiring manager on a small team and have the opportunity to influence the company's technical sourcing and evaluation strategies.

$125k - $190k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The Driving Product team specifically focuses on developing the AI driver's core behaviors, taking models from data and training through evaluation and on-road validation, and shipping them into cars on aggressive timelines. This role involves owning key parts of the training model lifecycle, from data curation to iteration planning, and developing AI driver model architectures and training algorithms to enhance driving behaviors for various levels of autonomy.

$312k - $351k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are hiring a Lead AI Native Engineer to build RoboForce’s vertical agents and shared agent foundation. This is a hands-on technical leadership role where you will write code, set architecture, and enable agent development.

Salary not listed

The Embodied AI Research team is looking for a PhD intern to conduct applied research at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings. Potential focus areas include foundation models for autonomy, vision-language-action models, generative and world models, learning for planning and control, and multimodal and temporal learning. This role involves formulating research problems, designing and running experiments, training and benchmarking models, analyzing model behavior, and collaborating with various engineering teams.

Salary not listed

Salesforce is seeking a technical leader for its AI Core team to build durable, high-quality systems that address complex AI challenges. This role involves developing retrieval systems and agent infrastructure, enabling AI agents to effectively find, trust, and utilize knowledge. You will also create developer tooling to help engineers across the company rapidly and safely deploy production agents. The position offers end-to-end ownership, from scoping and implementation to deployment and iterative improvement, within a high-ownership, high-velocity environment focused on AI and product development.

$173k - $260k

NVIDIA is seeking a Senior Manager, Software Engineering to lead the evolution of its DevOps, Build Engineering, and Infrastructure team. This role involves building and guiding a high-performing engineering team responsible for the development, testing, verification, and release of core software for NVIDIA's CUDA driver, runtime, and related libraries in C++, Python, and Rust. The position offers hands-on leadership, focusing on people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership, aiming to enhance the developer experience and platform for a global workforce.

$272k - $431k

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Anthropic

As an Applied AI Engineer on the Startups team at Anthropic, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups, guiding them from early product development to scaling. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. This role involves bridging the gap between Claude's capabilities and the specific needs of the life sciences, pushing the boundaries of AI in scientific discovery. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to enable startups to build at the forefront of AI in life sciences, developing custom evaluation frameworks, scalable architectures, and essential technical resources.

$280k - $320k

NVIDIA is seeking a Staff Engineer to develop the company's Enterprise Data Governance platform. This platform is crucial for protecting sensitive information, managing data access across all collaboration and content systems, and building a knowledge infrastructure that ensures the trustworthiness and accuracy of enterprise AI. The role presents a unique challenge in balancing the need for broad data access for AI agents with strict security, legal, and export control requirements. This position is ideal for technically strong engineers at the senior to principal level who are passionate about solving complex infrastructure problems and contributing to NVIDIA's core operations at scale.

$168k - $322k

Salesforce is seeking a Software Engineering SMTS for the Brain Team, focusing on the intelligence layer behind their AI CRM product, Piper. This role involves building, maintaining, and upgrading AI agents that qualify leads and book meetings. You will work on system prompts, model configuration, context layers, evaluations, and the underlying harness that powers Piper. The position offers a high-ownership, high-velocity environment where engineers ship customer-facing AI products at scale, with end-to-end ownership from idea to production. You will collaborate with product and AI platform teams to develop features, enhance customer experiences, and build evaluation systems to ensure agent performance and business outcomes.

$149k - $224k

The Embodied AI Research team is looking for an intern to conduct applied research at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings. Potential focus areas include foundation models for autonomy, vision-language-action models, generative and world models, learning for planning and control, and multimodal and temporal learning.

Salary not listed

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include state estimation and sensor fusion, sensor alignment and calibration, localization, next-generation mapping, and fallback and secondary capabilities.

Salary not listed

Salesforce is seeking a Senior Performance Engineer to join their Agentforce Operations team. This role is crucial for optimizing the scalability, resilience, and performance of their AI-powered supply chain platform. You will gain a deep understanding of the architecture and implement end-to-end optimizations to enhance scalability and reliability. The position involves tackling complex challenges such as optimizing data models, streamlining asynchronous operations, profiling infrastructure, and developing tools for experimentation and validation. As a subject matter expert, you will operate with autonomy, build alignment across engineering teams, and mentor other engineers, contributing to the company's ambitious scaling goals.

$149k - $224k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role focuses on harnesses, tool use, context, memory, execution environments, and evaluations that enable agents to perform long-running, useful engineering work. We seek engineers who thrive in ambiguity, possess strong product sense, and are eager to own problems end-to-end, understanding that this is a time-sensitive and business-critical role that may not adhere to a 9-5 schedule.

$150k - $400k

As an Embodied AI Data Scaling Intern, you will work on a well-scoped project that improves the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines, analyze large datasets, improve training workflows, or develop infrastructure that increases the number and quality of experiments the team can run. The Data Scaling team builds the data, machine learning, and infrastructure foundations that enable Embodied AI models to improve with scale, supporting large-scale autonomous driving models and the broader Embodied AI flywheel.

Salary not listed

FurtherAI is building AI agents to revolutionize the insurance industry, a trillion-dollar market currently reliant on manual processes. We combine frontier agentic AI with deep domain expertise to transform critical industry operations. Having secured over $30 million in funding from top investors and experienced significant growth, we are a deeply technical company where engineers have a substantial impact on product direction. We are seeking an exceptional AI Engineer to lead our efforts in evaluating and continuously enhancing the quality of AI agents across our platform.

$300k - $350k

LangChain is seeking a Fullstack Engineer to join the LangSmith team, focusing on our commercial AI observability and evaluation platform. This role offers the chance to develop new features and functionality, collaborating closely with enterprise customers, developer end-users, and internal stakeholders. You will contribute to a product that is shaping the future of AI agents in the real world, leveraging a strong foundation in open-source tools and a rapidly growing platform.

$145k - $180k

Anthropic

We are seeking an Applied AI Engineer to join our Beneficial Deployments team, with a specific focus on maximizing the impact of Claude within the life sciences sector. The primary objective is to significantly accelerate scientific progress across research and development, from early academic discovery to paradigm-shifting biotech and reimagined pharma pipelines. This role involves working directly with leading research partners, embedding within their scientific workflows, and prototyping AI agents that integrate into real research processes. You will also develop essential ecosystem-level tooling, such as MCP servers, benchmarks, and reusable agent skills, to enhance Claude's utility across the broader life sciences community. This position is part of the foundational Beneficial Deployments applied AI team, dedicated to advancing life sciences towards the technological frontier.

$280k - $320k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the AI Libraries team, which builds the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate, and deploy models at scale. You will create high-quality platforms, tools, and reusable abstractions that support thousands of GPUs and accelerate the development of autonomous-driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software. Your day-to-day will involve designing and writing Python, leading projects from discovery through delivery, improving engineering standards, and supporting users as they push the scale and performance of their models. You will build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing, and observability, improving the reliability, performance, and developer experience of systems used across Wayve.

$276k - $311k