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Senior Machine Learning Engineer
Red HatMachine Learning Engineer at Red Hat focused on optimizing AI models and contributing to open-source AI tooling. Collaborating on model compression algorithms and deploying deep learning research solutions.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
inference optimization algorithmsmodel compression pipelinesspeculative decoding frameworksLLM performance optimizationtensor math librariesPython programminglinear algebragradientsprobabilitygraph theory
Soft Skills
collaborationmentoringcommunicationinnovationcontinuous learning
Tools & Technologies
PyTorchNumPymathematical software
Certifications & Qualifications
BS in computer scienceMS in computer sciencePhD in ML related domain
Industry Keywords
machine learningdeep learningNLPopen-source projectstechnical design discussions
Tech Stack
Tools & technologiesNumpyPythonPyTorch
About the role
Key responsibilities & impact- Contribute to the design, development, and testing of various inference optimization algorithms
- Design, implement, and optimize model compression pipelines
- Develop and maintain speculative decoding frameworks
- Collaborate closely with research scientists to translate experimental ideas into robust, production-ready systems
- Profile and optimize end-to-end LLM performance
- Benchmark, evaluate, and implement strategies for optimal performance on target hardware
- Build tools to streamline model training, evaluation, and deployment
- Participate in technical design discussions and propose innovative solutions
- Contribute to open-source projects, code reviews, and documentation
- Mentor and guide team members, fostering a culture of continuous learning and innovation
- Stay current with LLM architectures, inference optimizations, and hardware advancements.
Requirements
What you’ll need- Strong understanding of machine learning and deep learning fundamentals
- Experience in LLM Inference Optimizations and NLP
- 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
- Understanding of Linear Algebra, Gradients, Probability, and Graph Theory
- 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 strong plus.
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities