Best Buy is hiring an Applied Machine Learning Engineer to build and operate the ML systems behind our search, product discovery, gift recommendations, and homepage personalization. You will take a hands-on role spanning the full ML lifecycle: building training pipelines, productionizing models, and owning monitoring and alerting for services in production.
What You'll Do
- Build and maintain ML training pipelines and infrastructure using tools like Vertex AI Pipelines, BigQuery, and GCS to enable data scientists to train and evaluate models.
- Productionize ML models as real-time, low-latency services using Cloud Run, Vertex AI, and containerized microservices.
- Set up and own monitoring, logging, and alerting for production ML services.
- Develop feature engineering, embedding, and data pipelines using GCP data services.
- Partner with Data Scientists and ML Researchers to take models from research to production and iterate based on real-world performance.
What We're Looking For
- A Bachelor’s degree in Computer Science, Engineering, Math, or a related field, or equivalent experience.
- 3 years of experience in ML/AI, data engineering, or software development.
- 3 years of experience building, deploying, and serving real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud native services.
- 2 years of experience building data engineering pipelines, ML/AI driven products, or related functions like software engineering or data science.
- 2 years of Python and SQL skills.
- 2 years of experience in software design, test-driven development, and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++).
- A solid understanding of supervised/unsupervised learning, deep learning, and Gen AI.
Nice to Have
- A Master’s degree in a quantitative field plus 2 years of experience in ML/AI.
- 5 years of professional experience.
- Experience with GCP services like Vertex AI, Cloud Run, Cloud Functions, BigQuery, or GCS.
- Hands-on experience with ML model serving (FastAPI, Vertex AI endpoints) and Docker/Kubernetes.
- Familiarity with embeddings, vector search, or information retrieval systems.
- Experience with monitoring and observability for production ML systems.
- Exposure to PyTorch, Hugging Face Transformers, or LLMs/generative AI in production.
Technical Stack
- Vertex AI Pipelines, BigQuery, GCS, Cloud Run, Vertex AI
- Python, SQL, GCP
- FastAPI, Docker, Kubernetes
- PyTorch, Hugging Face Transformers
Team & Environment
You will partner closely with ML Scientists and Data Engineers.
Benefits & Compensation
- Competitive pay.
- Generous employee discount.
- Physical and mental well-being support.
- Compensation range: $91,341.00-$163,557.00.
Work Mode
This is a hybrid position based in Richfield, Minnesota.
Best Buy is an equal opportunity employer.
