Lead Machine Learning Operations Engineer Ad Tech
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Job Location:
Richfield, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
As the Lead Machine Learning Operations Engineer youll help shape Best Buys nextgeneration machinelearningpowered Ad Serving platform. Youll work at the center of real-time decisioning largescale data pipelines and advanced analyticsdriving fast relevant highperforming 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 youre 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 youll do
Basic qualifications
Preferred qualifications
Whats in it for you
Were 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:
About us
As part of the Best Buy team youll 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 lifein our stores online and in customers homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. Were 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.
As the Lead Machine Learning Operations Engineer youll help shape Best Buys nextgeneration machinelearningpowered Ad Serving platform. Youll work at the center of real-time decisioning largescale data pipelines and advanced analyticsdriving fast relevant highperforming 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 youre 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 youll 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
- Bachelors 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
- Masters 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
Whats in it for you
Were 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 youll 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 lifein our stores online and in customers homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. Were 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.
Required Experience:
IC
Key Skills
- Change Management
- Software Deployment
- Cloud Infrastructure
- High Availability
- IaaS
- Firewall
- Linux
- Middleware
- Jboss
- Network Architecture
- Scripting
- Technical Support
About Company
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