Red hat Senior Machine Learning Engineer LLM Compressor Quantization 

United States, Massachusetts, Boston 

983328263

Job Summary

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.

What you will do

• Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM LLM-compressor (https://github.com/vllm-project/llm-compressor) project

• Create and manage training and deployment pipelines

• Benchmark and evaluate different quantization approaches to determine the best performance for specific hardware and models

• Participate in technical design discussions and provide innovative solutions to complex problems

• Give thoughtful and prompt code reviews

• Mentor and guide other engineers and foster a culture of continuous learning and innovation

• Stay up-to-date with the latest advancements in quantization research

What you will bring

• Strong understanding of machine learning and deep learning fundamentals with experience in one or more of Computer Vision, NLP, and reinforcement learning

• Experience with tensor math libraries such as PyTorch and NumPy

• Strong programming skills with proven experience implementing Python based machine learning solutions

• Ability to develop and implement research ideas and algorithms

• Experience with mathematical software, especially linear algebra

• Strong communications skills with both technical and non-technical team members

• BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a plus

The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave