AI Engineering Jobs in San Francisco

Together AI

Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models and ensuring they run efficiently and effectively at scale. You will have the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions and shape the future of AI inference.

$200k - $300k

Together AI

At Together AI, you will build and operate one of the world's largest GPU fleets for frontier model training and inference. This role is for engineers who excel at building systems, automating processes, and solving problems at a massive scale. If you prefer writing software over manual operations and aim to build infrastructure that autonomously manages tens of thousands of GPUs, we encourage you to apply.

$190k - $270k

MatX is building custom silicon and co-designing hardware/software to make the world's largest AI models run with unprecedented efficiency and quality. The AI tooling team plays a crucial role across the entire stack, developing agent harnesses and shared workflows that optimize general-purpose coding agents for specific layers of the AI development process. This position offers a unique opportunity to work alongside hardware engineers, gain deep insights into RTL design, design verification (DV), and physical design (PD), and contribute to building the missing tools and workflows that empower AI agents in hardware engineering tasks.

$160k - $275k

WRITER is seeking a Software Engineer, Generative AI to build the secure, scalable foundation for enterprise-grade generative AI solutions. This role is for an engineering generalist with a strong focus on generative AI and a systems-level approach to architecture. You will be responsible for designing and developing services, integrating AI models and agentic workflows, and owning platform component architecture from proposal to deployment. The work directly impacts enterprise-wide transformation, driving significant revenue increases and cost reductions for clients. This is a hybrid role based in San Francisco, New York City, or London.

$132k - $240k

Labelbox is seeking a Member of Technical Staff to lead the design, development, and production of Frontier Data Products. This role involves building the essential sandboxed, reproducible environments that AI agents require for training and evaluation, including terminals, browsers, and tool-augmented workspaces. You will be responsible for writing production-quality infrastructure, integrating with the RL tooling ecosystem, and ensuring environments are robust and observable. A strong understanding of how RL training loops consume environments and potential failure points is crucial.

$140k - $200k

Firecrawl is seeking a highly motivated and product-focused engineer to enhance how AI agents discover, understand, and utilize Firecrawl's capabilities. This role emphasizes rapid iteration, rigorous A/B testing, and translating learnings into product improvements for a non-human user base. It requires a blend of scientific rigor in product development, including hypothesis formation, experimentation, and data analysis, rather than pure research or data science. Prior experience with AI agents is beneficial, but strong engineering skills, a fast shipping cadence, and a quick learning ability are paramount. Firecrawl provides the easiest way to convert web content into data usable by AI agents, solving a critical problem for LLM development. The company has experienced significant growth, backed by substantial funding, and is building foundational AI infrastructure.

$235k - $260k

Crusoe

Crusoe is seeking a Senior Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing AI infrastructure. This role focuses on making large language models run faster, cheaper, and more reliably in production by owning the inference stack end-to-end. You will be responsible for profiling performance, implementing modern optimization techniques, and diving deep into serving code. The work is applied, directly impacting customer deployments, and involves tailoring solutions to specific models, traffic patterns, latency targets, and cost constraints. You will collaborate with customer engineering teams, guide workloads from proof of concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering role requiring coding, profiling, and low-level optimization, with a customer-facing component and elements of product and technical solutions work.

$250k - $300k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, and our Core Services team is responsible for the foundational infrastructure that enables models to run code, use tools, and take actions safely and reliably. This role involves designing, building, and operating a sandboxing platform where models can execute untrusted code and interact with tools. This is critical infrastructure that supports both internal research and external product development, requiring a focus on speed, security, and dependability.

$300k - $400k

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology infrastructure, the company aims to lead in enterprise AI adoption. This role is part of the Intelligent Foundations and Experiences (IFX) team, which develops and deploys proprietary AI solutions that are central to the business and impact millions of customers. The team empowers other departments across Capital One to enhance their products with AI in responsible and scalable ways, driving high-leverage impact.

$230k - $262k

MatX is building the compute platform for AGI, developing vertically integrated full-stack solutions from silicon to systems. We are seeking a hands-on engineering lead to manage, mentor, and grow a team of kernel engineers while setting technical direction and executing. This role involves actively contributing to the design and implementation of high-performance compute kernels for specialized AI hardware, partnering with ML teams to maximize output and improve diagnostics, and collaborating with hardware teams to co-design next-generation AI architectures.

$160k - $275k

WRITER is seeking an exceptional software engineer to join their rapidly evolving team. In this pivotal role, you will be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You will dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works. This role is hybrid, based out of their San Francisco, New York City, or Seattle hubs.

$132k - $240k

WRITER is a company focused on orchestrating AI-powered work for leading enterprises, aiming to expand human capacity through superintelligence. Their platform enables companies to build and deploy AI agents grounded in their data and powered by enterprise-grade LLMs. WRITER is a rapidly growing company in the enterprise generative AI space, seeking talented individuals to join their mission to create a better future of work with AI.

$199k - $325k

As an AI engineer at WRITER, you will be instrumental in shaping how enterprises leverage superintelligence. This role involves building tangible AI solutions that power the future of work for leading global companies. Your contributions will directly influence the performance, scalability, and ethical alignment of our advanced LLMs and AI agents, enabling businesses to achieve unprecedented productivity and innovation through AI grounded in their data.

$198k - $259k

As a deployment engineer at WRITER, you will be at the forefront of expanding human capacity through superintelligence. This role involves partnering directly with enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving significant business results and shaping the future of work for large companies. This is a critical role that directly impacts customer success and product evolution, contributing to WRITER's mission of pushing the boundaries of generative AI.

$146k - $204k

Roboflow

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k

Applied Intuition

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

Amplitude

Join the engineering team that builds the AI-native apps, agents, and tools that power Amplitude's internal operations. This is an AI-first, full-stack software engineering role where you will leverage your expertise in frontier AI technologies to drive continuous improvements in both the systems you build and the way you build them. Your work will have a significant business impact across critical functions like Finance, People Ops, Product Ops, Legal, and HR, by designing and building internal applications, data products, automations, and integrations.

$198k - $299k

Databricks

As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems.

$191k - $233k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on creating 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 uncover insights from vast datasets, and building AI foundation models through all development phases. You will engage in high-impact applied research to push the boundaries of AI for customer experiences and translate complex technical work into tangible business goals. The ideal candidate is innovative, creative, a leader, and technically proficient with a deep understanding of AI methodologies and experience building large deep learning models.

$219k - $250k

Applied Intuition

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k