Red Hat · 1 day ago
Senior Machine Learning Engineer – Model Training and Customization
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. They are seeking a Senior Machine Learning Engineer to join their AI Innovation team, focusing on building core libraries for model post-training methods and contributing to open-source projects.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Develop core libraries for various model post-training methods and innovations
Work directly on upstream, open source projects and engage with community needs and contributions
Contribute to core post-training algorithm research and engineering, introducing new methods both to community efforts and our own Training Hub
Understand and adapt novel architectures and techniques to work with various post-training algorithms, across distributed training frameworks
Optimize, enhance, and improve robustness and usability of both existing and in-flight projects, working closely with researchers to validate prototype logic
Maintain and expand library feature pool, and address core algorithm bugs and blockers
Work closely with software engineers on interface and testing designs
Participate in code reviews and collaborate on best practices within the engineering team
Document system designs, processes, and model performance for transparency and future reference
Report on project status, challenges, and results to stakeholders
Qualification
Required
Bachelor's degree in computer science or equivalent
3+ years of experience in Python development
Significant background in AI/ML projects or coursework (neural networks, deep learning, language models, reinforcement learning)
Experience in research engineering, machine learning engineering, or applied ML roles
Strong experience with common model architecture development and adapter frameworks (e.g. PyTorch, Transformers, PEFT, etc.)
Familiarity with distributed training frameworks (e.g. FSDP, DeepSpeed) and inference runtimes (e.g. vLLM)
Experience in open-source projects and collaborative development workflows
Existing background in software development or engineering, building robust and consumable libraries and implementations
Experience with unit testing, integration testing, and performance testing
Strong self-motivation and organizational skills
Excellent written and verbal communication skills
Positive attitude and willingness to share ideas openly
Preferred
Masters or PhD in Machine Learning (ML) / Natural Language Processing (NLP)
Experience with MLOps and deployment systems (e.g., Kubeflow, MLflow, Kubernetes, CI/CD pipelines)
Experience writing functional, end-to-end or coverage tests in Python
Experience with GitHub Actions, GitHub automation, or CI/CD practices
Experience reading/writing, publishing, and/or implementing research papers
Experience in Red Hat products
Experience in large language models
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!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
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