Senior AI Scientist
Job Description
As the Senior AI Scientist, you will work alongside industry experts developing and applying cutting edge ML & AI algorithms to optimize Best Buy customer experience. The systems you build will power customer experiences responsible for billions of dollars in revenues from home page, search, recommendations to checkout and post-purchase. You will work in a dynamic team tackling a variety of use cases including understanding search intent, intelligently optimizing the page layout, deciding what products to be shown in carousels, trading off between giving customers what they want vs allowing for serendipity, etc. You will work alongside a fast-paced team enabling ideas to often go into production in a matter of weeks. This role is remote eligible, which means you would work virtually from home or another non-Best Buy location. What you’ll do- Design and implement large-scale Search, RecSys, Personalization and Adtech systems that power customer experiences across Best Buy surfaces.
- Derive complex features from large scale clickstream logs for model training data
- Develop & finetune retrieval/ranking models using supervised learning, deep learning, LLMs, and generative AI (e.g., Two Tower models, Sequence models, GNNs, etc.)
- Design custom evaluation metrics for measuring quality of ML and GenAI models.
- Collaborate with AI engineers, platform and product teams to deploy low latency models.
- Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
- Strong machine learning and algorithmic background with a deep understanding of supervised and unsupervised learning methods, deep learning, LLMs.
- 4 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
- 2 years experience working on industrial-grade Search, RecSys, Personalization or Adtech.
- Strong skills in SQL and at least 1 programming language (e.g., Python, Julia)
- Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
- Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, etc.
- Cross-functional experience in deploying realtime low-latency ML products over GCP or AWS
- Competitive pay
- Generous employee discount
- Physical and mental well‑being support