Production ML Engineer — Scale & Train LLMs
$350kAnthropic
Anthropic is looking for a Research Engineer in San Francisco to work with the ML Performance and Scaling team. The role involves critical management of pretraining pipelines and collaboration across teams, with a strong emphasis on operational excellence and debugging complex ML systems. Successful candidates will have a passion for large-scale ML models and be excited about the responsibilities that come with maintaining production ML systems. Compensation ranges from $350,000 to $850,000 USD, alongside competitive benefits. #J-18808-Ljbffr Anthropic
- ...in San Francisco is seeking a Member of Technical Staff - Post‑Training to build systems that transform powerful models. The ideal... ...candidate has a deep understanding of machine learning and strong engineering skills. The role involves collaborating with teams to enhance...SuggestedFull time
- Responsibilities Design, deploy, and maintain large distributed ML training and inference clusters Develop efficient, scalable end-to-end pipelines to manage petabyte-scale datasets and model training throughout the entire ML lifecycle Research and test various training...Suggested
- Physical Intelligence is looking for a candidate to scale and optimize ML training systems and core model code. You'll manage critical infrastructure... .... Ideal candidates should have strong software engineering fundamentals, experience in JAX or PyTorch, and familiarity...Suggested
- ...technology company in San Francisco is looking for a Founding ML Research Engineer to develop the infrastructure for training large speech models. This entry-level position involves designing a production-grade training stack, building scalable data pipelines, and owning...SuggestedFull time
- ...leading company focused on AI safety is looking for a Research Engineer for their Post-Training team in San Francisco. The role involves developing... ...engineering skills, particularly in Python, and experience with ML systems. This position offers competitive compensation and...SuggestedFlexible hours
$225k - $275k
ML Engineer - AI-Powered Automation & Workflow Intelligence... ...implement scalable, production‑grade ML systems that... ...including experimentation, training, evaluation, and... ...large language models (LLMs), multimodal architectures... ...tangible, enterprise‑scale impact. Join a small,...Full time- About TrueFoundry Every production AI system, whether it's powering customer support, writing code, analyzing financial... ..., and we're building it. We're looking for a Staff ML Platform Engineer - Large Scale Training (LLMOps/MLOps) to join the team. The Problem We're...Flexible hours
- A leading AI company in San Francisco seeks a research engineer to enhance post-training ML models. You will develop in-house tools, work with diverse model architectures, and interact with various technologies including Kubernetes and GPU computing. The role offers competitive...
- About the Team Training Runtime designs the core distributed machine-learning... ...experiments to frontier‑scale model runs. With a dual mandate... ...fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the...Work at officeRelocation package
- Atoms, based in San Francisco, is seeking a Machine Learning Infrastructure Engineer to design the ML training infrastructure for autonomous transport models. The role involves scaling distributed GPU workloads, leading to innovations across their platform. Ideal candidates...
$149k - $186k
...looking for brilliant software engineers who have a passion for consumer products and want to join an... ...with data scientists to train and serve state of the art... ...experience in the realm of large-scale data processing,... ...operational tooling for ML services (monitoring, alerting...Full timeWork at officeLocal area$295k - $380k
OpenAI is seeking a Systems Engineer to work on ML training infrastructure in San Francisco. This role focuses on creating reliable systems for large-scale training, enabling new model approaches while maintaining performance and debuggability. The ideal candidate will...- ...in San Francisco is looking for a Senior Software Engineer to build scalable infrastructure for large‑scale training and fine-tuning of foundation models. You will design... ...candidates have over 5 years of experience in ML infrastructure and a strong background in distributed...
- A leading AI research firm located in San Francisco is seeking a Senior ML Systems Engineer to build and maintain the training framework for large-scale language models. The role involves designing distributed training solutions and improving training throughput across...Flexible hours
- A leading tech company in San Francisco seeks a Machine Learning Engineer to build and maintain infrastructure for large-scale model training. In this hands-on role, you will design systems, work closely with researchers, and optimize training processes. Candidates should...
$140k - $200k
Join to apply for the Founding ML Research Engineer - Training Infrastructure role at Kalpa Labs (YC F25... ...and the mandate to push toward 100B+ scale as we scale generalist speech models... ...You’ll Do Design and implement a production-grade training stack for large-scale...Full time$200k
Metis, Inc. is seeking a Research Engineer to develop the next generation of autonomous post-training systems using their Mantis... ...involves designing and executing large-scale experiments, contributing to... ...proficiency in Python along with ML frameworks. The position offers...- ...located in San Francisco, CA, is looking for a Distributed Training and Inference Engineer to optimize the software stack for AI training. The role... ...The ideal candidate has significant industry experience in ML systems and programming expertise in Python and C++. This...Flexible hours
- ...Machine Learning Engineer opportunities posted... ..., preprocessing, training, testing, and deployment... ...end-to-end ML pipelines encompassing... ...monitoring in production environments. Collaborate... ...of the art in LLMs, RL, and code... ...training pipelines that scale reliably across...Flexible hours
- ...Python, PyTorch, NLP, LLMs, Information... ...boundaries of what our ML systems can do.... ...hiring a Founding ML Engineer to own the... ...will be researching, training, and shipping models... ...paper to prototype to production. Who you are 3+... ...generation at scale Strong Python and...
$8,000 per month
..., PyTorch , NLP , LLMs , Information Retrieval... ...of what our ML systems can do. We’re hiring an ML Engineer Intern to work directly... ...will be researching, training, and shipping... ...paper to prototype to production. Previous interns’... ...multilingual, web‑scale data into structured...Summer workInternshipSummer internshipRelocationShift work$183.7k - $248.6k
...seeking a Senior Machine Learning Infrastructure Engineer in San Francisco to join our Vector Ads team. You... ...build, and maintain the infrastructure that serves ML models in real-time, ensuring they run reliably at scale. Ideal candidates have experience with ML infrastructure...- ...Senior Machine Learning Engineer with 10+ years of... ...to design, build, and scale production-grade machine learning... ...focused on end-to-end ML system ownership, including... ...engineering, model training, deployment, monitoring... ...large language models (LLMs) and agent-based AI...
- MakerMaker is seeking a talented Senior ML Systems Engineer to build and maintain production inference systems in San Francisco. This role requires at least... ...experience in production-grade infrastructure for large-scale models, along with strong analytical skills in...
- A cutting-edge AI technology company based in San Francisco is seeking a specialist to design and operate large-scale GPU infrastructure. This role requires expertise in deploying GPU systems for high-throughput inference and model performance optimization. The ideal candidate...
- Waymo is seeking a hands-on ML engineer on the Perception team to advance post-training techniques and scalable model deployment for the Waymo Driver, our autonomous driving platform. You will collaborate with onboard model engineers, researchers, and cross‑org partners...
- Spellbrush in San Francisco seeks an experienced HPC Infrastructure Engineer to manage and operate one of the largest anime AI training clusters globally. You will collaborate directly with researchers to ensure system performance and manage SLURM jobs. The role requires...Visa sponsorship
$181.4k - $235.8k
...Senior Machine Learning Engineer with 10+ years of... ...to design, build, and scale production-grade machine learning... ...focused on end-to-end ML system ownership, including... ...engineering, model training, deployment, monitoring... ...large language models (LLMs) and agent-based AI...Minimum wage$150k - $300k
...You will own the ML systems that turn... ...multilingual, web-scale data into structured... ...dozens of languages. Train and fine-tune... ...paper through to production deployment. Who you... ...embedding models. Use LLMs for structured... ...full ML research and engineering cycle, from...$160k - $280k
...industry. Our Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-... ...including recommendations, LLMs, ads, visual search, growth/... ...continuously improve our AI products. In this position, you will...Work experience placementImmediate startFlexible hours
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