Requirements

• You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome.
• You have experience with recommendation systems, ranking, retrieval, personalization, or closely related ML problems.
• You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs, and drive it to a measurable outcome.
• You are proficient in Python and experienced with modern ML frameworks and large-scale data processing.
• You understand how to evaluate ML systems rigorously, including offline metrics, experiment design, and interpreting online results.
• You communicate complex technical ideas clearly and work effectively with cross-functional partners.

What You'll Be Doing

• Design, develop, and improve recommendation, ranking, and retrieval models that surface relevant restaurants, dishes, items, and content to customers.
• Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments, and monitor production performance.
• Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints, and changing user intent.
• Collaborate closely with Software Engineers, ML Engineers, Product Managers, and Analysts to turn scientific insights into reliable customer-facing products.
• Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness, or efficiency.
• Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing, and thoughtful experimentation.

Perks and Benefits

• Solve meaningful problems at real scale: Work on a complex, always-on marketplace that impacts millions every day.
• See your impact, fast: Ship, test, and improve ideas quickly in a low-hierarchy, high-ownership environment.
• Grow through challenge and ownership: Take on big, ambiguous problems and accelerate your career with strong support.
• A culture built for builders: High standards, collaboration, flexible working, and continuous learning.
• Share in the success you help create: Competitive salary and equity options, so you're rewarded for the impact you make.