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Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Developing optimization algorithms, managing ML training/deployment pipelines, and evaluating quantization approaches for open source enterprise software. Experience in Computer Vision, NLP, or reinforcement learning required. Community-powered open source development environment.
Requirements
- Strong understanding of machine learning and deep learning fundamentals
- Experience in Computer Vision, NLP, or reinforcement learning
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills in Python for machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Strong communication skills with technical and non-technical team members
- BS, MS, or PhD in computer science, computer engineering, or related field
Tasks
- Contribute to designing and developing inference optimization algorithms
- Create and manage training and deployment pipelines
- Benchmark and evaluate quantization and sparsification approaches
- Participate in technical design discussions
- Provide innovative solutions to complex problems
- Conduct thoughtful and prompt code reviews
- Mentor and guide other engineers
- Foster a culture of continuous learning and innovation
- Stay updated on advancements in quantization research
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NumPy
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Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Developing optimization algorithms, managing ML training/deployment pipelines, and evaluating quantization approaches for open source enterprise software. Experience in Computer Vision, NLP, or reinforcement learning required. Community-powered open source development environment.
Requirements
- Strong understanding of machine learning and deep learning fundamentals
- Experience in Computer Vision, NLP, or reinforcement learning
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills in Python for machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Strong communication skills with technical and non-technical team members
- BS, MS, or PhD in computer science, computer engineering, or related field
Tasks
- Contribute to designing and developing inference optimization algorithms
- Create and manage training and deployment pipelines
- Benchmark and evaluate quantization and sparsification approaches
- Participate in technical design discussions
- Provide innovative solutions to complex problems
- Conduct thoughtful and prompt code reviews
- Mentor and guide other engineers
- Foster a culture of continuous learning and innovation
- Stay updated on advancements in quantization research
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- NumPy
About the Company
Red Hat (Switzerland) SARL
Industry
IT
Description
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.
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