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.

Basic qualifications

• 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

Preferred qualifications

• 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

What's in it for you

We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially during key moments in your life.

Our benefits include

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

About us

As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life-in our stores, online, and in customers' homes.

Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.

Best Buy is an equal opportunity employer.

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

Skills

Ad Serving, Advertising, Advertising Operations, Analysis Skills, Bidding, Cloud Computing, Coaching, Computer Science, Computer Skills, Computer Systems, Data Analysis, Data Management, Data Modeling, Data Science, Distributed Computing, High Throughput, Machine Learning, Machining Operations, Mathematics, Mentoring, On Call, Operational Support, Physics, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Software Engineering, System Operations, Traceability

About the Company

Best Buy

Energetic teams. Fun atmosphere. Exciting opportunities.

That’s what you’ll find at Best Buy. Care to join us?

You can feel the energy here. And we’re not talking about the hum of electronics (there’s that, too). We’re talking about people.

Best Buy employees are friendly, enthusiastic and willing to help you succeed. Sure, we’re a big company — the world’s largest consumer electronics retailer — but that doesn’t stop us from having fun while doing what we love: bringing technology into people’s lives in meaningful ways.

When you join our team, we consider you part of our Best Buy family. And what you do here every day will support our goal to make people’s lives better, easier and more enjoyable through the great products we sell.

So if you’d like using your talents to help improve people’s lives, bring it! We’d love to have your energy here.

Company Size

10,000 employees or more

Industry

Retail

Founded

1966

Website

http://www.bestbuy-jobs.com/