Senior Engineer I at Phillips 66 combining engineering and physics models with ML. Enhancing safety, reliability, and profitability through digital product development.
About the role
- Senior Software Engineer developing and releasing the Red Hat AI Inference Server. Collaborating with technical and research teams on machine learning products and operational automation.
Responsibilities
- Collaborate with research and product development teams to scale machine learning products for internal and external applications
- Actively contribute to managing and releasing upstream and midstream product builds
- Test to ensure correctness, responsiveness, and efficiency
- Troubleshoot, debug and upgrade Dev & Test pipelines
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Collaborate with a cross-functional team about market requirements and best practices
- Keep abreast of the latest technologies and standards in the field
Requirements
- 2+ years of experience in MLOps, DevOps, Automation and/or modern Software Deployment practices
- Experience with Release Engineering
- Experience evaluating LLMs for performance and accuracy (think HellaSwag, MMLU, Chatbot Arena, TruthfulQA, etc.)
- Being super comfortable with Python and PyTest is a must
- Strong experience with Git, Github Actions including self-hosted runners, BuildKite, Terraform, Jenkins, Ansible, and/or other common technologies for automation and monitoring
- Experienced with administering Kubernetes/OpenShift and/or docker/podman
- Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
- Familiar with Agile development methodology
- Solid troubleshooting skills
- Ability to interact comfortably with the other members of a large, geographically dispersed team
- Experience maintaining an infrastructure and ensuring stability
- While a Bachelor’s degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience
- Familiarity with contributing to the vLLM CI community is a big plus
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!
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