Senior Machine Learning Engineer
Tasks
- Benchmark and profile quantization approaches
- Benchmark and profile sparsification approaches
- Collaborate with open-source contributors
- Design inference optimization algorithms
- Develop inference serving deployment pipelines
- Evaluate model parallelizations
- Implement LLM deployment pipelines
- Implement LLM training pipelines
- Implement model compression algorithms
- Mentor and guide engineers
- Participate in technical design discussions
- Provide code reviews
Perks/Benefits
- 401k match
- Comprehensive medical/dental/vision coverage
- Flexible work arrangements
- Paid parental leave
- Paid time off
Skills/Tech-stack
Computer Vision | Deep learning | Gradient Computation | Graph theory | Inference Optimization | Language Models | Language Processing | Large Language Models | Linear Algebra | Machine Learning | Model Compression | Model Quantization | Model sparsification | Natural Language | Natural Language Processing | 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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