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Description:
- Egen is seeking a ML Platform Engineer for distributed training, focusing on GPU training platforms and large-scale model training.
- The role involves collaboration with a healthcare AI client, optimizing training workloads and ensuring platform reliability.
Requirements:
- 5+ years of engineering experience with GPU training infrastructure and large-scale training.
- Proficiency in Python and shell scripting, with strong software engineering skills.
- Experience with GKE, GPU scheduling, and distributed training using PyTorch and Ray Train.
- Knowledge of RDMA, GPU networking, and performance benchmarking.
- Ability to explain technical concepts clearly and demonstrate ownership in a team environment.
Benefits:
- Competitive salary range: $159,300 - $219,245 per year.
- Comprehensive health insurance, paid leave, and 401(k) employer match.
- Employee referral bonuses and various types of leave (vacation, parental, bereavement).
- Commitment to diversity, equity, and inclusion in the workplace.
Job title
Job type
Required experience
5 years
Salary
$159,300—$219,245 / year
Degree requirement
No degree requiredLocation requirements
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Benefits
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