AI Engineering Jobs in San Francisco

Artos

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

Unlearn is seeking an AI Engineer to join their Science organization, focusing on scaling the use of AI agents for core business problems within clinical development. This role is crucial for delivering impact in efficiency and extensibility by building new capabilities across machine learning, statistics, and AI tools. The ideal candidate will be entrepreneurial, taking end-to-end ownership of their mission, collaborating extensively, and investigating a broad range of tools and techniques to ensure team success. Unlearn's mission is to help life-saving treatments reach patients faster by making clinical trials smarter using data, AI, and digital twins.

$145k - $180k

Perplexity AI

Perplexity is seeking a Technical Program Manager to act as the central point of contact between our model providers, engineering, and product teams, driving the advancement of our core inference platform. This role is crucial for managing one of the industry's highest-throughput inference stacks, serving diverse traffic across a dynamic portfolio of models. You will operate at the nexus of product, engineering, and finance, coordinating the smooth integration of new models and capacity while executing the roadmap for the inference platform itself. The ideal candidate possesses strong technical acumen, excels at coordinating diverse teams and external partners with competing deadlines, and is motivated by establishing operating models for functions with limited precedent.

$170k - $265k

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology with its in-house ADAS platform, set to debut in 2027. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard vehicle sensors and offboard cloud infrastructure. This role is within the Scalable ML team, which is crucial for improving the efficiency of model training and enabling ML developers to work effectively with large datasets to achieve optimal performance and advance transportation safety.

$179k - $269k

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.

$295k - $500k

Goodfire is seeking a Forward Deployed Engineer to serve as the technical lead for customer engagements, integrating our AI interpretability platform into partner environments. This hands-on role involves writing production code, building integrations, running pilots, and owning technical delivery. You will work directly with customer engineering and research teams, translating frontier research into deployed reality across various domains like Life Sciences, Robotics, and Language models. This position requires strong engineering skills, rapid learning ability, creative problem-solving under real-world constraints, and comfort operating alongside client technical teams.

$200k - $325k

You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you will be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team and collaborating with internal engineering and product teams. This role requires regular customer interaction and up to 25% travel.

$191k - $334k

Decagon

Decagon is seeking an AI Acceleration Engineer to build the core systems that power the company and integrate AI into every team's workflow. This hands-on technical role involves extending existing platforms, automating manual processes in areas like billing and collections, and replacing spreadsheet-based operations with robust systems. You will work directly with stakeholders across various departments to identify automation opportunities, design and implement solutions, and ensure their adoption and success. The role requires a strong generalist with a knack for engineering away manual processes and a deep understanding of when to apply AI versus deterministic pipelines.

$180k - $220k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role leads a team of engineers focused on the critical control plane for Anthropic's inference fleet. This involves making key decisions about request routing and capacity allocation to meet throughput, reliability, and latency goals. The team designs placement and load-balancing algorithms, builds quantitative models for demand and performance, and optimizes latency across various system boundaries. The Engineering Manager will guide a team of ML platform, infrastructure, and distributed systems engineers, ensuring the efficiency, reliability, and evolution of the entire request-to-model path.

$405k - $625k