Machine Learning Engineer - Ranking & Recommendations
Uber San Francisco, CA Full-time 2/18/2026 $171k - $190k per year
Undergraduate with 2+ Years of Experience
Approval 99.3%•Total filings 920•New hires 237•
💎 Strong Sponsor
•FY 2025Job Description
The Shopping Ranking Team is looking for individuals to design and build machine learning models for ranking and recommendation systems. Candidates will work on productionizing these models and collaborating with cross-functional teams to enhance product solutions.
Requirements
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- 2+ years of experience building and deploying machine learning models (or a PhD in a relevant field).
- 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, MapReduce, Spark, etc.
- Working knowledge of latest ML technologies and libraries, such as PyTorch, TensorFlow, Ray, etc.
- Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.
Responsibilities
- 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.
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
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