Senior Machine Learning Engineer - Ranking & Recommendations; Generative AI

About the Role

The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML‑driven algorithmic approach, applying state‑of‑the‑art Machine Learning (ML), optimization techniques to learn from massive datasets Uber has, and building scalable and reliable shopping intelligence ranking and recommendation systems.

We are actively seeking individuals who excel in problem‑solving and critical thinking, are proficient in coding, have proven track records of learning and growth, and have a deep interest in ML model, feature and infrastructure development. Candidates will have the opportunity to work across various lines, from infrastructure development to ML model development, productionalization, offering a diverse and enriching experience. Join us in our pursuit of excellence as we build the next generation of Generative AI – shopping ranking and recommendation systems.

• Design and build Machine Learning models in ranking and recommendation domain.
• Productionize and deploy these models for real‑world application.
• Review code and designs of teammates, providing constructive feedback.
• Collaborate with product and cross‑functional teams to brainstorm new solutions and iterate on the product.

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full‑time engineering experience.
• 4+ years of ML experience and building ML models.
• Experience working with multiple multi‑functional teams (product, science, product ops, etc).
• Expertise in one or more object‑oriented programming languages (e.g. Python, Go, Java, C++).
• Experience with big‑data architecture, ETL frameworks and platforms such as HDFS, Hive, Map Reduce, Spark, etc.
• Working knowledge of latest ML technologies and libraries such as PyTorch, Tensor Flow, Ray, etc.
• Proven track record of being a fast learner and go‑getter, with willingness to step outside the comfort zone.

• Experience building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability and extensibility in production environments.
• Experience taking on vague business problems, translating them into ML + optimization formulation, identifying right features, model structure and optimization constraints, and delivering business impact.
• Experience designing and architecting ML systems and workflows.
• Experience owning and delivering a technically challenging, multi‑quarter project end to end.

Across all US locations, the base salary range is USD $202,000 per year – USD $224,000 per year. All full‑time employees are eligible for Uber’s bonus program, may receive equity awards and other types of compensation, and can participate in a 401(k) plan. Eligible for various benefits, with more details available at