Distributed ML Systems Engineer — Large-Scale Pretraining
Dormont Manufacturing Co
Dormont Manufacturing Co is looking for a Software Engineer for their Pre-training Systems team in San Francisco. Your primary role will be to design and maintain the distributed infrastructure that trains long-context models at scale, tackling challenges related to memory pressure, communication, and job recovery. The ideal candidate should possess strong software engineering fundamentals, experience with large models, and a proactive attitude towards maintaining critical systems in a high-performance environment. #J-18808-Ljbffr Dormont Manufacturing Co
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- ...the most advanced Large Language Models. Overview... ...talented MLOps Engineers with deep, hands-... ...for frontier AI systems. This is a W-2... ...infrastructure, and ML framework-level topics... ...pipeline design, distributed systems reasoning,... ...with PyTorch at scale. Experience writing...Full timeWeekday work
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Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has... ...:Strong excitement about system optimizationExperience with... ...ML systemsStrong software engineering skills, proficient in frameworks...Full time$110 per hour
.... Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton... ...infrastructure, and ML framework-level topics... ...to MLOps and ML systems problems . Evaluate... ...training pipeline design, distributed systems reasoning, and... ...JAX and/or PyTorch at scale. ~ Experience writing...Remote jobContract workSummer workWeekday work$350k
...Francisco, is searching for an engineer to work at the intersection of research and systems on their pretraining stack. The role involves... ...model architectures and scaling distributed training jobs across thousands... ...'re driven to explore what large models can achieve, we want...- Design Arena hosts cutting-edge ML evaluation platforms and data engines. This role focuses on building systems that learn from human preference signals to evaluate... ...will collaborate with researchers and scale data pipelines for large-scale experiments. Ideal candidates...
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- ...Anthropic is seeking an engineer to own the infrastructure behind safeguards research. You will build the tooling researchers rely... .... Successful candidates will have a track record of solving large-scale systems and data problems and will grow deep machine learning...
- ...-on support from AMD engineers the team is scaling rapidly to build the... ...About the role As an ML Engineer at... ...end multimodal GenAI systems. In this role, you will... ...AI systems including Large Language Models, Transformers... ...with one or more distributed ML training frameworks...Full timeFlexible hours
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- ...Francisco seeks a Machine Learning Engineer to work with the full ML stack, implementing advanced model architectures... ...extensive data pipelines for large datasets. The ideal candidate will... ...models, and familiarity with distributed training processes. A bonus is knowledge...
$170k - $280k
...give leaders clarity and engineers time. We help... ...looking for an Applied ML Engineer to help build... ...the machine learning systems that power Macroscope'... ...role where you'll own large parts of the model development... ...Experience with large-scale distributed training, preference...Odd jobFull time- ...interpretability, new architectures, and pretraining science. As an ML Engineer, you will build and operate the... ...research in training and evaluating large models. You will optimize inference and training throughput, scale distributed pipelines, and collaborate with researchers...
- ...Machine Learning Infrastructure Engineer to help architect the... ...technology enterprises, this team is scaling rapidly to solve complex... ...ownership over scaling distributed systems across massive hardware clusters... ...reliability while running large-scale workloads across extensive...Full timeWork at officeFlexible hours
$166k - $210.25k
...SummaryAs a Senior Applied ML Engineer on the Applied AI team... ...Growth: Drive the scaling and efficiency of... ...optimization techniques.Build Systems: Design end-to-end ML4... ...computer systems and distributed environments.Minimum... ...record of optimizing large-scale distributed systems...Local areaWorldwide
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