Ml Infra Engineer, Modeling
SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Infra Engineer, Modeling at SeedBringing general-purpose AI into the physical world. This role involves scaling and optimizing training systems and core model code, owning critical infrastructure for large-scale training, and building reusable JAX training pipelines.
Skills and focus areas
- ml infrastructure
- large-scale training
- gpu
- tpu
- job orchestration
- jax
- distributed training
- performance optimization
- experimentation
- software engineering
- scalable infrastructure
- model training
Summary written by Ramai from the original posting. Full details and requirements are on SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →’s careers page.
[ More at SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More → ]
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