Machine Learning Engineer

As a Lead Machine Learning Engineer, youll be leading technical efforts to research, develop, and applying cutting-edge machine learning systems to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine your leadership skills with strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases that form the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually at 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.

For this role, you must be located within a drivable distance to our office in Richfield, Minnesota, Atlanta, Georgia or Seattle, Washington.

What youll do

• Leading the design and development of ML solutions as services
  
• Mentoring and coaching junior ML Engineers leveraging state-of-the-art machine learning techniques
  
• Partner with global cross-functional teams including AI, data, platforms, products, analytics, business and compliance
• Applying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency
  
• Work through complex technical and business problems in high pressure scenarios, connecting the larger enterprise goals to teams tactical deliverables

Basic qualifications

• Bachelors degree in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience
• 6 years of experience building and operationalizing ML/AI products
• 3 years of MLOps or AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud native services
• 3 years of experience leading end to end design reviews, code reviews and deployment patterns for critical AI applications in one or more of Gen AI, supervised learning, unsupervised learning and reinforcement learning domains
• 3 years of experience with Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production grade pipelines
• Expert level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core)
• Expert level coding expertise in Python and SQL
• Expert level knowledge of MLOps/AIOps concepts and CI/CD pipelines

Preferred qualifications

• Masters degree or PhD. in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience
• Multi-cloud and multi-region integration experience
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, PyTorch, JAX or ONN
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, or Argo for end-to-end model building, training, serving and monitoring
• Open-source contributions or robust GitHub portfolio

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 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 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. 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.

Position Type: Full timePandoLogic.
Required

Preferred

Job Industries

• Other