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python model training llms transformers cuda📋 Description
- Build and scale training pipelines for large transformer/LLM models.
- Develop inference services with low latency and high reliability.
- Tune GPU performance across training and inference stacks.
- Collaborate with ML scientists to productionize new methods.
- Participate in hiring, mentoring, and elevating technical standards.
🎯 Requirements
- 5+ years of software engineering with a track record shipping products.
- Degree in Computer Science or related field (or equivalent experience).
- Hands-on with one or more: model training, model inference at scale, or GPU work (CUDA, Triton).
- Production experience at meaningful scale.
- Strong fundamentals, clear communicator, team-oriented.
- Deep knowledge of at least one language (Python, Ruby, Java, Go, etc.).
🎁 Benefits
- Equity in a fast-growing startup.
- Hybrid work policy: in-office 3 days/week.
- Pension scheme with 4% match.
- Health and dental insurance for you and dependents.
- Flexible paid time off and parental leave.
- MacBooks provided; Windows available for some roles.
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