Lead Machine Learning Operations Engineer - Ad Tech

As the Lead Machine Learning Operations Engineer, you'll help shape Best Buy's next‑generation, machine‑learning‑powered Ad Serving platform. You'll work at the center of real-time decisioning, large‑scale data pipelines, and advanced analytics-driving fast, relevant, high‑performing ad experiences. If you enjoy solving complex ML problems, optimizing systems at scale, and collaborating across engineering teams, this role gives you the impact and visibility you're looking for.

This role is hybrid, which means you will work some days at our corporate office in Richfield, Minnesota, and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

What you'll do

• Work at the nexus of ML, data science, data engineering, and ad serving; training, optimizing, and integrating ML models for real-time ad decisioning and bidding.
• Optimize features, ML models, and infrastructure for traceability, observability, quality, freshness, and low latency and scalability of training and inference.
• Manage feature data, ML workflows, and ML models, making use of modern machine learning operations, dashboards, and monitoring for robust and observable life cycle management.
• Conduct deep analytical investigations to uncover insights and drive data informed decisions about ad delivery system operation and performance.
• Participate in on-call rotation and provide operational support for data pipelines and ML-driven ad serving.
• Mentor and coach ML Scientists and Engineers, fostering a culture of learning and technical excellence.

• Bachelor's in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or related field; or equivalent combination of relevant professional experience and education
• 5 years of experience in MLOps, including feature stores, model training, deployment, and lifecycle management
• 5 years of experience using Python for data analysis, modeling, or engineering
• 5 years of experience resolving complex production data and model-serving issues
• Experience with SQL and ML workflow orchestration tools
• 2 years of experience working in advertising technology

• Master's or PhD in a quantitative field
• Experience with high-throughput, real-time ML inference systems
• Experience building dashboards that drive actionable insights
• Familiarity with orchestration tools such as Airflow, Flyte, Cloud Composer, or Step Functions
• Experience with distributed compute systems, ML platforms, and modern ML frameworks
• Experience with inference servers and online feature stores

• Competitive pay
• Generous employee discount
• Physical and mental well-being support

Position Type: Full timePandoLogic. Keywords: Machine Learning Manager, Location: Minneapolis, MN - 55423