• Knowledgeable with 3+ years of relevant industry experience and advanced degree in machine learning, computer science, statistics, biostatistics, mathematics, or related quantitative field
• Proven track record of shipping machine learning-powered algorithm products at B2C-like scale as well as working with cross-functional teams in an agile-like environment
• Your grasp of machine learning fundamentals and ability to design intuitive, working ML solutions in response to complex business problems
• You have a strength in the “design and prototype” part of the ML development pipeline, beginning with pulling datasets from SQL and ending with serializing ML models and assisting engineers to product-ionize model retraining and model serving systems
• When it comes to communicating, you have no problem with ML/algorithm designs clearly to cross-functional team members, especially engineers and product managers
• You are well versed in SQL data warehouses such as Redshift and Snowflake, have worked on current ML tools such as TensorFlow, PyTorch, and Python, and feel comfortable with recommender systems or natural language processing
• To take it one step further, you are effective at translating and blending traditionally distinct ML concepts such as recommender systems, NLP, regression, andиclassification into a common framework such as TensorFlow