San Francisco Machine Learning Engineer $100k jobs • $100k Machine Learning Engineer jobs in San Francisco • high paying Machine Learning Engineer jobs San Francisco • six figure Machine Learning Engineer roles with remote and hybrid options when available.
This role involves managing a team dedicated to accelerating machine learning systems. You'll work on cutting-edge AI projects in a mission-driven environment focused on safety and societal benefit.
Anthropic · 2y ago
Design and implement machine learning models for agent capabilities, ensuring interpretability and safety. Collaborate on scalable AI solutions with a focus on real-world applications.
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly.
Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior.
With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve.
Frontier AI companies are increasingly bottlenecked on expert judgment — capturing it reliably, validating it at scale, and turning it into durable model behavior. This role sits at the center of that problem.
Work on creating reliable, interpretable, and steerable AI systems. This role focuses on ensuring AI safety and benefits for users and society.
Work on cutting-edge AI research to develop reliable and steerable systems. Contribute to Anthropic's mission of creating beneficial AI for society.
The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.
Join Anthropic's mission to create safe and beneficial AI systems. Work on cutting-edge reinforcement learning engineering in San Francisco, New York City, or Seattle.
True Talent Solutions Partners · 3d ago
Join an AI team building large-scale models for physical systems, with weather as an initial application. You will develop the distributed infrastructure needed to train and serve foundation models, helping advance AI that can predict outcomes and identify effective actions.
The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products.
We’re looking for early members of our machine learning recommendations team. You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art recommendation models.
Preference ModelNew · 2d ago
Frontier research moves only as fast as its infrastructure permits. We are looking for Senior ML Infrastructure Engineers to build the infrastructure and systems that power the frontier of post-training on large language models .
We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores…
Join a machine learning team building vision models that interpret complex documents and turn their contents into useful inputs for language models. You will own models end to end, from research and experimentation through production deployment.
Manage the team building internal distributed frameworks for LLM training, enabling fast and automatic processes for machine learning engineers and researchers.
Scale partners with top AI labs to deliver high-quality data and accelerate GenAI progress. This role focuses on LLM post-training, offering a chance to work on cutting-edge projects in dynamic locations.
Scale AI is hiring a Machine Learning Research Scientist/Engineer for its ACE team to research data types for state-of-the-art AI agents and translate advancements into scalable solutions.
We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale.
Join Pinterest's Applied Research Science team to build ML systems that power creative idea discovery. Work on cutting-edge projects that help users find inspiration and plan memorable experiences.
Join Pinterest's Monetization Engineering team to develop ML models that optimize advertising and revenue. Work on cutting-edge projects in a dynamic environment across multiple tech hubs.
Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
Midjourney · 4mo ago
Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
Join Scale's Public Sector ML team to deploy LLMs, agentic models, and multimodal pipelines in government environments. This role focuses on model evaluations for critical applications.
Join a small, senior engineering team building the ML systems behind consumer-facing products. You will shape the data pipelines, models, retrieval systems, and inference infrastructure that make intelligent product features useful and intuitive.
Shape the direction of our applied AI areas and intelligence features in our products .
For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the identity and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem.
Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads.
Join an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI models.
Join Scale's ML platform team to develop RLXF, the internal distributed framework powering ML engineers, researchers, and data scientists. Work on cutting-edge large language model systems for fast and automated operations.
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
We’re hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI. Signals tell you what happened. Our job is to explain why — and that is the problem you will work on.
This is a hands-on MLOps engineering role. You will work across model training and refresh workflows, APIs, orchestration, data pipelines, production monitoring, and user-facing experiences such as model dashboards and training controls.
Airbnb · 4mo ago
The Assistance Engineering Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience.
Join the Inference Engine team to enhance AI inference performance. Work with state-of-the-art technologies in a dynamic environment.
The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards.
the role and team · 6d ago
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability.
Lead the perception stack for an autonomous defense robotics system, covering detection, tracking, classification, and sensor fusion. You will partner with robotics, controls, and hardware engineers to deliver reliable performance in real-world field conditions.
USA
