Senior Machine Learning Engineer, LLM Compressor and Quantization
Senior Machine Learning Engineer, LLM Compressor and Quantization
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Job Description
Job Summary
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers maintainers of the vLLM project and inventors of state-of-the-art techniques for model quantization and sparsification our team provides a stable platform for enterprises to build optimize and scale LLM deployments.
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.
Join us in shaping the future of AI.
What you will do
Contribute to the design development and testing of various inference optimization algorithms in the vLLM 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
Strong Python and PyTorch experience
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
#LI-AJ1
The salary range for this position is $170770.00 - $281770.00. Actual offer will be based on your qualifications.Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location experience applicable skills and training external market value and internal pay equity. Annual salary is one component of Red Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with Remote-US locations the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the worlds leading provider of enterprise open source software solutions using a community-powered approach to deliver high-performing Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from in-office to office-flex to fully remote depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative passionate people ready to contribute their ideas help solve complex problems and make an impact.
Benefits
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
Additional benefits including employee stock purchase plan family planning reimbursement tuition reimbursement transportation expense account employee assistance program and more!
Note: These benefits are only applicable to full time permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hats culture is built on the open source principles of transparency collaboration and inclusion where the best ideas can come from anywhere and anyone. When this is realized it empowers people from different backgrounds perspectives and experiences to come together to share ideas challenge the status quo and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access and that all voices are not only heard but also celebrated. We hope you will join our celebration and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race color religion sex sexual orientation gender identity national origin ancestry citizenship age veteran status genetic information physical or mental disability medical condition marital status or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for and will not pay any fees commissions or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application email . General inquiries such as those regarding the status of a job application will not receive a reply.
Required Experience:
Senior IC
Employment Type
Full-Time
