AI Engineering Jobs in San Francisco

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their AI and shape its future. This role focuses on designing and operating large-scale multilingual data pipelines, ensuring the quality and effectiveness of data used for training advanced language models. You will contribute to scientific experiments aimed at improving multilingual data efficiency in large language models and develop evaluation sets to identify and address model performance gaps across different languages and domains.

Salary not listed

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success will be measured through production adoption, measurable workflow impact, and eval-driven feedback that influences product and model roadmaps. You'll work closely with Product, Research, Partnerships, GRC, Security, and GTM teams.

$185k - $300k

Ambient.ai

Ambient.ai is seeking an AI Infrastructure Software Engineer to design, build, and optimize the AI infrastructure powering their real-time intelligence platform. This role involves working on systems to run state-of-the-art deep learning models, including computer vision, large language models (LLMs), large vision models (LVMs), and multimodal AI systems, across vast amounts of video data in real time. You will focus on scaling infrastructure for inference, evaluation, and continuous model improvement, partnering closely with research scientists and product engineering teams to bring AI advancements into production.

$168k - $205k

We are seeking a Staff Engineer to build and maintain the production systems that power our AI-enabled product capabilities. This role bridges ML systems, platform engineering, and site reliability engineering, focusing on moving machine-learning models and agentic workflows from prototypes to secure, observable, and continuously deployable production systems. You will partner with various teams to create a streamlined path from experimentation to production and ensure the ongoing performance and evolution of these systems.

Salary not listed

Baseten

Baseten is seeking an AI Engineer to join its rapidly growing Compute organization. This role is crucial for scaling the systems and workflows that balance supply and demand across our GPU fleet. You will design, build, and ship AI-powered workflows to automate manual and repetitive tasks within the capacity lifecycle, allowing the team to focus on critical judgment calls. The ideal candidate will audit existing systems, identify gaps, and rapidly deliver solutions, thinking ahead about the broader system architecture and the role of AI in enhancing existing tooling.

$175k - $190k

OpenAI

The Partner Applied AI Engineer team focuses on the safe and effective deployment of Generative AI applications for developers and enterprises. As a founding member of this team, you will act as a trusted advisor and technical partner to customers, guiding them through their AI adoption strategy. Your role involves developing tailored GenAI use cases for various industries and driving these initiatives from prototype to production through hands-on technical guidance and collaboration. You will work closely with systems integrators and their strategic clients to transform businesses using AI solutions like customer service automation and novel applications leveraging advanced AI models.

$197k - $278k

Perplexity AI

The Agent Capabilities team at Perplexity Computer is at the forefront of agentic AI, bridging frontier AI research with product innovation. This team builds the foundational capabilities that empower users and agents to tackle increasingly complex tasks. They are responsible for translating cutting-edge AI model breakthroughs into reusable product features, evaluating emerging model capabilities, identifying user value, and transforming these into reliable, scalable, high-quality experiences. This role offers broad ownership at the intersection of AI research, agent systems, platform engineering, and product innovation.

$220k - $405k

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid daily to train frontier AI models, and Mercor Enterprise brings this infrastructure to Fortune 500 companies to capture and translate their best people's expertise directly into agents. This role is a foundational hire on a new Data Platform team, responsible for the infrastructure that every data-driven team at Mercor runs on, including Snowflake, Fivetran, Airflow, and Hex. You will own how data is organized, access controls, operational costs, and reliability, setting standards for other engineers.

$160k - $500k

Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role offers a unique opportunity to contribute to a rapidly scaling company that is defining a new category in real-time. The team values decisiveness, simplicity, and a commitment to continuous improvement, seeking individuals who are driven to do their best work alongside like-minded professionals. The future of professional services is being shaped at Harvey, and this is just the beginning.

$231k - $340k

Abundant

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. The founding team brings extensive experience from leading AI organizations, with a proven track record in deploying deep learning models at scale, training state-of-the-art models, and managing large data pipelines. As a Member of Technical Staff, you will collaborate directly with the founding team to architect the future of model reasoning and intelligence, working at the intersection of research and execution to push the boundaries of AI capabilities.

$120k - $120k

Athelas

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM processing to address the significant administrative burden in healthcare. We are at the forefront of this transformation, with a rapidly growing user base and significant market confidence, as reflected in our recent funding and industry accolades. Our team values speed, ownership, and direct impact, working closely with clinicians to ensure our technology directly improves patient care.

$180k - $230k

Anthropic

The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML-based safety systems. This role involves collaborating closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production, owning the research-to-production transfer of new safety technologies critical for every Claude model launch. The team builds for scale, serving thousands of ML classifiers for all requests on the token generation path and for every platform Claude runs on. Engineers will work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing platforms and tools that enable safeguards to operate reliably at scale, with tooling and infrastructure used for every model launch.

$320k - $485k

NVIDIA is seeking a Principal EDA R&D Engineer to lead the research, architecture, and development of next-generation hardware formal verification tools. This role involves pioneering advancements in core formal verification engines, enhanced by Agentic AI frameworks. You will craft collaborative, autonomous AI agent networks to extend formal tools, enabling them to automatically break down large builds, coordinate solver strategies, synthesize complex properties, and debug execution traces at an unprecedented scale. The position demands deep algorithmic knowledge, rigorous industrial software engineering, and a proven track record of delivering production-grade EDA tools.

$232k - $368k

Anthropic

The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services are critical, sitting on the token generation path across every platform Claude runs on. You will be responsible for keeping p99 latency flat as traffic grows, building for robustness against dependency failures, and safely shipping changes to a system that cannot go down. This role requires a strong foundation in distributed systems and a focus on designing systems for graceful degradation.

$320k - $485k

Fireworks is seeking new graduates for its Member of Technical Staff role, offering a unique opportunity to work on real AI systems in production from day one. As an MTS, you will write and ship code for one of the world's busiest inference platforms, serving hundreds of models at massive scale. The company matches new hires to teams based on their strengths and interests, with potential work spanning inference, model training, distributed systems, cloud infrastructure, developer platforms, or full-stack application engineering. You will be paired with a senior engineer mentor and undergo a structured ramp-up, starting with well-scoped problems and progressing to owning features and systems independently. Fireworks emphasizes a fast-paced environment with a high bar and a commitment to employee development.

$160k - $180k

OpenAI

We are seeking a Software Engineer to develop the research infrastructure and tooling that will enable OpenAI models to design silicon. This role involves transforming chip-design workflows into robust environments for reinforcement learning and evaluation, and simplifying the process for researchers to conduct experiments and iterate on new ideas. You will bridge software engineering, tool integration, and open research challenges, leveraging strong coding fundamentals, clear technical judgment, and independent execution. While prior chip-design experience is beneficial, domain knowledge can be acquired alongside our hardware specialists.

$266k - $468k

Crusoe

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, focusing on profiling, applying modern optimization techniques, and deep dives into serving code to enhance speed, reduce cost, and improve reliability. The work is hands-on, involving coding, profiling, and low-level optimization, with a customer-facing component to tailor deployments to specific needs and ensure performance gains are realized in real-world scenarios. You will transition workloads from proof-of-concept to fully monitored production services, making this a core systems and performance engineering role on demanding AI workloads.

$215k - $260k

FAR.AI, a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial, is seeking a Research Lead to spearhead its pre-training safety initiatives. This role focuses on shaping AI models at their source by controlling capabilities and internal representations, aiming to prevent misuse and reduce loss-of-control risks. The work involves scaling methods for large models, validating approaches like data filtering and gradient routing, and exploring techniques such as unlearning. The Research Lead will direct these efforts, collaborate with red teams for stress-testing, and analyze scalability to frontier systems. This position offers significant autonomy within an impact-driven environment, focusing on empirically grounded, scalable ML safety research.

$290k - $450k

Blee

Blee is an AI-first marketing content compliance platform trusted by major companies like PayPal, NerdWallet, and Brex. We are a YC-backed startup defining a new category in compliance across various industries. We value in-person collaboration but offer remote opportunities for exceptional candidates, with regular off-sites and opportunities to connect across offices. You will join a team focused on clarity, ownership, and building impactful solutions.

$150k - $275k

NVIDIA AI for Media is seeking outstanding engineers to join its team, focusing on building and optimizing real-time AI solutions for media and entertainment workflows. This role will involve setting the technical direction for content authenticity AI, architecting model and pipeline strategies for detecting synthetic and manipulated media, and making critical build-vs-adapt decisions. The team works on core technologies to solve ambitious computer vision and deep learning problems, aiming to deliver studio-quality audio and high-resolution video enhancement and effects.

$272k - $431k

Fireworks is seeking PhD graduates in Computer Science, Computer Engineering, or Electrical Engineering to join their Systems Infrastructure team. This role is for individuals who want to apply their research ideas to real-world, large-scale AI infrastructure. You will be responsible for designing and building the core systems that power Fireworks' AI platform, including schedulers, storage systems, and networks, ensuring efficient utilization of hardware and low inference latency. You will work on challenging problems related to compute placement, efficient data movement, and high-performance networking for AI workloads, with the opportunity to see your work ship in a production environment.

$200k - $230k

NVIDIA's Site Reliability Engineering (SRE) team is seeking a Principal SRE to shape the technical direction of the company's AI Platform Runtime. This role involves leading reliability engineering initiatives across multiple organizations, solving complex enterprise-scale problems, and establishing architectural standards for critical AI-powered services. The Principal SRE will also drive the adoption of AI agents and skills to enhance platform operations and developer productivity. The team values intellectual curiosity, diversity, collaboration, and continuous learning through blameless analysis, encouraging bold thinking and impactful improvements.

Salary not listed

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to help build a generational company at an inflection point, with strong product-market fit and investor support. The team operates with intensity, ownership, and a commitment to excellence, valuing decisiveness, simplicity, and continuous improvement. If you are driven to do your best work alongside like-minded individuals, Harvey is the place to be.

$231k - $340k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build on. Founded by MIT PhDs and CMU Professor, the company leverages deep research expertise and production systems experience. The Role focuses on bringing new image and video models to the Modelverse platform, prioritizing speed to launch. You will own the initial integration, coordinate deployment with the cloud team, and work with product engineers on API and Modelverse integration. After launch, you will hand off optimization tasks and maintain the shared code for model integration and serving.

$170k - $240k