Software Engineer - ML Model Performance
Baseten
14 days+
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Benefits offered by this job
Job summary
A leading AI technology company based in San Francisco is seeking a motivated Software Engineer to enhance ML performance. This role involves implementing advanced techniques for ML model inference, collaborating in a dynamic team, and tackling performance optimization challenges. Ideal candidates will have a relevant degree, programming experience (Python or C++), and familiarity with LLM optimization. This position offers competitive compensation, comprehensive health coverage, and generous PTO policies.
Qualifications
- Degree in Computer Science, Engineering, Mathematics, or related field.
- Experience with general‑purpose programming languages.
- Familiarity with LLM optimization techniques.
Responsibilities
- Implement and productionize techniques for ML model inference.
- Deep dive into codebases to debug ML performance issues.
- Collaborate with a diverse team to design solutions.
Skills
Experience with Python or C++
Familiarity with LLM optimization techniques
Strong familiarity with PyTorch
Understanding of GPU architecture
Education
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field
Tools
TensorRT
CUDA
Docker
Kubernetes
Job description
A leading AI technology company based in San Francisco is seeking a motivated Software Engineer to enhance ML performance. This role involves implementing advanced techniques for ML model inference, collaborating in a dynamic team, and tackling performance optimization challenges. Ideal candidates will have a relevant degree, programming experience (Python or C++), and familiarity with LLM optimization. This position offers competitive compensation, comprehensive health coverage, and generous PTO policies.
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