Sr Software Engineer, MLOps
$150,000–$180,000 year
On-site · Seattle, Washington, United States
Job Summary
Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features (e.g., recognition, AI Video Search, multimodal AI, Agentic AI, and Energy AI). Responsibilities include building model registry, model serving, deployment, rollback, and CI/CD for production AI services; owning feature, dataset, model, and prompt versioning; standardizing training/evaluation/release/monitoring workflows; improving reliability, cost efficiency, latency, and repeatability of AI launches; creating reusable platform patterns; and partnering with engineering, data science, product, and operations teams to productionize AI capabilities at scale.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related technical field and 5+ years of professional experience in software development, applied science, or ML engineering; OR Master’s degree and 2+ years of professional experience in software development, applied science, or ML engineering
- Experience building production ML platforms, model serving systems, or MLOps workflows
- Strong Python and cloud engineering skills
- Experience with CI/CD, Git, infrastructure-as-code, and production monitoring
- Familiarity with model registry, feature/data versioning (DVC), validation, deployment, rollback, and observability
- Ability to communicate tradeoffs clearly across engineering, data science, and product teams
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