Senior ML Infrastructure Engineer - GPU Training & MLOps
$224k - $280kCssmerge
Cssmerge is seeking a foundational Machine Learning Infrastructure Engineer based in San Francisco. You will design ML training infrastructure, scale distributed GPU workloads, and collaborate with researchers. This role offers an ambitious challenge in automating the physical world. The salary range is $224,000 - $280,000 per year, and includes benefits like medical insurance, 401(k), and unlimited flexible time off. Join us to drive real progress in industry automation! #J-18808-Ljbffr Cssmerge
- 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...SeniorTraining
$224k - $280k
ATOMS Careers page is seeking a Staff Machine Learning Infrastructure Engineer to design and implement ML training infrastructure in San Francisco. The role involves... ...training pipelines and managing distributed GPU workloads. Ideal candidates should have 8+ years of...SeniorTraining- cursor in New York, New York, seeks talented engineers to enhance their ML Infrastructure team, focusing on building a robust and scalable... ...opportunity to work closely with researchers, improve training systems, and automate GPU cluster management while collaborating in a...Training
- 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...SeniorTraining
- ...San Francisco is looking for a Senior Software Engineer to build scalable infrastructure for large‑scale training and fine-tuning of foundation... ...training systems and optimize GPU utilization while collaborating... ...over 5 years of experience in ML infrastructure and a strong...SeniorTraining
- ...This remote contract role requires 40 hours a week and involves working with MLOps and ML systems engineering tasks. The ideal candidate should have 2+ years of experience in ML infrastructure and hands-on production experience with PyTorch at scale. Strong communication...SeniorTrainingRemote jobContract work
$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...SeniorTraining- Baseten is looking for a Software Engineer to join their Training Infrastructure team in San Francisco. You'll architect and lead the development of the training... ...extensive experience with Kubernetes, and knowledge of ML workload management. Benefits include competitive...SeniorTrainingFlexible hours
- OpenAI seeks a Senior Software Engineer for the Robotics team in San Francisco, CA. In this role, you will enhance the training framework, debug ML systems, and support engineers and researchers... ...with ML systems and infrastructure components. The position offers...SeniorTrainingRelocation package
$149k - $186k
...looking for brilliant software engineers who have a passion for... ...Partner with data scientists to train and serve state of the art models... ..., and/or machine learning infrastructure, with an understanding of the... ...with operational tooling for ML services (monitoring, alerting...SeniorTrainingFull timeWork at officeLocal area$200k - $240k
Voxel is seeking a Software Engineer to develop and optimize ML Infrastructure in San Francisco. You will build systems for training multiple vision models, manage ML experiments, and establish best practices on AWS. The role demands strong Python skills and the capacity...SeniorTrainingFlexible hours$166k - $225k
...machine learning platform engineers to build out our... ...generative AI platform for the ML development lifecycle... ...data generation, training, evaluation, serving,... ...features to low-level GPU orchestration. You Will... ...the core platform infrastructure that supports our customer...SeniorTrainingLocal area$295k - $405.5k
...this role As the Senior Staff Machine Learning Platform Engineer, you will own the... ...evolution of Faire’s ML platform. You will... ...including training, inference, feature... ...quality, testing, MLOps (CI/CD), experimentation... ...distributed systems, ML infrastructure, and cloud...SeniorTrainingWork experience placementWork at officeLocal areaRemote workMonday to FridayFlexible hours3 days per week$170k - $200k
...of food, water, and livelihoods? The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ClimateAi’s forecasting and... ...ML pipelines and models, including reproducible training, automated validation, and safe rollouts to production...SeniorTrainingPermanent employmentFull timeRemote workFlexible hours- MLOps & Agentic Platform Engineer (AI Infrastructure) We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have...Training
$213k - $263k
...5+ U.S. states. The Simulation ML Infrastructure team builds scalable AI/ML infrastructure... ...for the testing and training of the Waymo Driver. To increase... ...weather. We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced...SeniorTrainingFull timeRemote work$183.7k - $248.6k
The opportunity Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real‑time systems... ...build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding,...SeniorTrainingWork at officeRemote workWorldwideRelocation package- ...conditions, needs the same foundational infrastructure.A way to route between models. A... ...it. We're looking for a Staff ML Platform Engineer - Large Scale Training (LLMOps/MLOps) to join the team. The Problem... ...workloads, optimizing multi-GPU training, and shipping production...TrainingFlexible hours
- Hyphen Connect Limited is looking for an experienced MLOps & Agentic Platform Engineer to manage model registries and develop continuous training infrastructure. The ideal candidate should have a strong background in DevOps/MLOps and expertise in deploying scalable microservices...Training
- We’re looking for an experienced HPC infrastructure engineer to lead bringup, administration, and operations... ...on is probably the largest anime AI training cluster in the world . You’ll serve as... ...between our researchers and the bare GPU machines, helping to make sure that...TrainingWork at officeVisa sponsorship
- ...looking to recruit an exceptional Infrastructure Engineer to own and build the backend... ..., data infrastructure, GPU compute, and high-... ...discussions with cloud and ML compute providers, including... ...workloads, including policy training, simulation, and multimodal...Training
- ...through advanced hardware engineering and AI solutions.... ...We are seeking a Senior Machine Learning Infrastructure Engineer to join our... ...performance, production-grade ML ecosystem to support... ...distributed training pipelines, with... ...model sharding, cross-GPU communication, and real...TrainingFlexible hours
- A technology company in San Francisco is seeking an experienced Infrastructure Engineer to ensure 99.99% uptime while working with custom inference stacks and managing GPU loads. The ideal candidate will have deep infrastructure expertise and a passion for tackling complex...Senior
$181.4k - $235.8k
Gap Inc. is looking for a Senior Machine Learning Engineer in San Francisco, CA. The role requires over 10 years of experience in ML and software engineering, focusing on designing and... ...include building ML pipelines, ensuring MLOps best practices, and collaborating with...Senior$170.9k - $325.2k
...learning solutions that impact the organization. The candidate must have a strong background in AI/ML, with proven experience in tools like Pytorch and a solid understanding of GPU workloads. Responsibilities include contributing backend services for generative AI features...Senior$157k - $234k
...Collaborate with data scientists and engineers to understand model... ...processes. - Automate the training, testing and deployment processes... ...privacy standards in all MLOps activities.... ...to have: - Experience with infrastructure-as-code (IaC) tools such as...SeniorTrainingFull timeWork at officeWork from homeFlexible hours$224k - $280k
...We are roboticists, engineers, operators, and builders... ...foundational Machine Learning Infrastructure Engineer to design and... ...build the large‑scale ML training infrastructure that... ...scaling distributed GPU workloads to support a... ...Experiment Tracking & MLOps: Integrate advanced...TrainingFull timeWork at officeFlexible hours$224k - $280k
Staff Machine Learning Infrastructure Engineer Who we are Atoms is building the... ...design and build the large‑scale ML training infrastructure that powers... ...of scaling distributed GPU workloads to support a high... ...clusters. Experiment Tracking & MLOps: Integrate advanced model...TrainingFull timeContract workFor contractorsFor subcontractorWork at officeFlexible hours$161.93k - $247k
Senior Machine Learning Engineer Join to apply for the Senior Machine... ...learning (AI/ML) systems in a... ...challenges for current training paradigms. The... ...deploying the infrastructure needed to... ...data. Experience GPU/Accelerator programming... ...cultivating MLOps and ML infrastructure...SeniorTrainingFull timeWork at officeLocal areaRemote work2 days per week3 days per week$152k - $228k
...Job Description Senior ML Engineer About Invoca Invoca... ...at Invoca, from model training and fine-tuning... ...primary driver of the infrastructure powering our Context... ...Ownership Lead End-to-End MLOps and Productionization... ...and Kubernetes-based GPU infrastructure....SeniorTrainingCurrently hiringRemote workFlexible hours
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