Senior Machine Learning Engineer
Tasks
- Benchmark model parallelization approaches
- Benchmark quantization approaches
- Benchmark sparsification approaches
- Create inference serving deployment pipelines
- Design inference optimization algorithms
- Develop LLM deployment pipelines
- Develop LLM training pipelines
- Develop and test inference optimization algorithms
- Evaluate model performance
- Implement model compression algorithms
- Mentor and guide engineers
- Profile inference performance
- Review code
- Stay current with open source LLM architectures
- Stay current with quantization research
Perks/Benefits
- Employee assistance program
- Employee stock purchase plan
- Flexible spending account
- Health savings account
- Paid Holidays
- Paid parental leave
- Paid time off
- Retirement 401k Employer Match
- Transportation expense account
- Tuition reimbursement
Skills/Tech-stack
Deep learning | Gradients | Graph theory | Inference Optimization | Language Models | Large Language Models | Linear Algebra | Machine Learning | Model Compression | Model Quantization | Model sparsification | NLP | NumPy | Parallel Computing | Probability | PyTorch | Python | Reinforcement Learning | Tensor math
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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