Machine Learning Engineer - Foundational Models

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Requirements:

• Experience building, deploying, and maintaining high performing, resilient, and scalable real-time machine learning systems.
• Familiarity with the fundamentals of ML in supervised learning, recommendation systems, or deep learning.
• Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• Strong communication skills to gain buy-in from partners.
• Curiosity and inspiration for taking on new challenges.
• Team player capable of balancing time against multiple systems and work streams.

Responsibilities:

• Building the next generation ML systems that transform how people find what they love.
• Production-izing and scaling machine learning models and promoting engineering excellence.
• Collaborating with data scientists and engineers, as well as cross-functionally with Strategy, Product, Merchandising, Marketing, and Engineering partners.