Staff Engineer - ML Operations - USA Remote

For our client, we are seeking a Staff Engineer - ML Operations - USA Remote to join the team of a leader in the Business Services space. This role will lead operational priorities focused on execution quality, efficiency, safety, and measurable performance outcomes. You will collaborate with field leadership, support functions, and cross-functional stakeholders to improve accountability, service delivery, and operational consistency. The position offers the opportunity to influence operational scale, customer outcomes, and organizational performance within a Business Services environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $180,000 – $220,000 annuallyResponsibilities Own the end-to-end ML lifecycle and deployment, ensuring rigorous tracking and reproducibility of models Collaborate with bioinformatics and computational biology teams to create scalable protein design workflows Implement CI/CD and observability for ML, automating deployment and monitoring model performance Enhance GPU and compute efficiency through effective resource management and optimization Develop self-service ML tools and provide technical leadership to empower data scientists and researchersQualifications Degree in Computer Science, Engineering, Computational Biology, or a related technical field, or equivalent practical experience 5+ years of software, ML, or infrastructure engineering experience with a strong track record in MLOps Experience with ML lifecycle tooling such as MLflow, Kubeflow, and Weights & Biases Strong skills in containerization (Docker, Kubernetes) and a major cloud platform (Azure preferred) Proficiency in Python and familiarity with Bash for automation and toolingBenefits Comprehensive health care program including medical, dental, and vision insurance Paid time off to promote work-life balance 401(k) plan with potential employer contributions Remote work flexibility for eligible roles to enhance work-life integration Opportunities for professional development and career advancement within the companyOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.