Remote Training Infra Engineer for AI Models

Jaide Health

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Open and inclusive culture
Weekly lunch stipend
Full health and dental benefits
100% Parental Leave top-up
Personal enrichment benefits
6 weeks of vacation

Job summary

Jaide Health is seeking a Member of Technical Staff to contribute to model training pipelines and produce state-of-the-art models. Candidates should possess strong software engineering skills, especially in Python and ML frameworks like JAX and Pytorch. Experience with distributed training infrastructures is essential. The role embraces remote working, allowing flexibility across various locations. Jaide Health offers a variety of perks including health benefits, a lunch stipend, and a 6-week vacation policy.

Qualifications

  • Extremely strong software engineering skills.
  • Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
  • Experience with distributed training infrastructures like Kubernetes and Slurm.

Responsibilities

  • Design and write high-performant and scalable software for training.
  • Improve our training setup from performance standpoint.
  • Craft tools to speed up our training cycles.

Skills

Software engineering skills
Proficiency in Python and related ML frameworks
Experience with distributed training infrastructures
Experience using large-scale distributed training strategies
Hands-on experience with training large models

Job description

Jaide Health is seeking a Member of Technical Staff to contribute to model training pipelines and produce state-of-the-art models. Candidates should possess strong software engineering skills, especially in Python and ML frameworks like JAX and Pytorch. Experience with distributed training infrastructures is essential. The role embraces remote working, allowing flexibility across various locations. Jaide Health offers a variety of perks including health benefits, a lunch stipend, and a 6-week vacation policy.
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