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Senior Machine Learning Engineer

2 months ago

Minneapolis, Minnesota, United States Best Buy Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Scientist to join our team at Best Buy. As a key member of our AI research team, you will have the opportunity to work on cutting-edge machine learning and artificial intelligence projects that drive innovation and growth for our company.

Key Responsibilities
  • Design and develop large-scale AI solutions that leverage state-of-the-art techniques and algorithms.
  • Collaborate with cross-functional teams to design and implement machine learning models that drive business outcomes.
  • Develop and deploy machine learning models that are scalable, efficient, and effective.
  • Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to drive innovation and improvement in our solutions.
Requirements
  • Bachelor's degree in a highly quantitative field, such as Computer Science, Engineering, Physics, Math, or Operations Research.
  • Strong machine learning and algorithmic background, with a deep understanding of supervised and unsupervised learning methods, deep learning, and natural language processing.
  • 4+ years of experience in designing and implementing personalization-driven ML solutions with model metrics tracked via A/B testing.
  • 4+ years of coding experience with Python.
  • 4+ years of experience with massaging, cleaning, and standardizing tabular and free form text data to feed into an ML model.
Preferred Qualifications
  • Master's degree or Ph.D in a highly quantitative field.
  • 4+ years of experience in applying deep learning frameworks such as TensorFlow, Keras, PyTorch, MXNet, or ONNX to solve NLP problems.
  • Experience building and deploying ML products over GCP and/or AWS.
  • Open source contributions or a robust GitHub portfolio.
  • Familiarity with state-of-the-art sequence-to-sequence models and experience with transformer-based architecture.
About Us

At Best Buy, we are committed to enriching lives through technology. We bring this to life every day by humanizing and personalizing tech solutions for every stage of life. 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 and bring your full, authentic self to work now and into the future.