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Machine Learning Engineer II - Membership

Uber
Sunnyvale, CA Full-time 12/24/2025 $167k - $185.5k per year
Undergraduate with 2+ Years of Experience
Approval 99.3%Total filings 920New hires 237
💎 Strong Sponsor
FY 2025

Job Description

Uber is seeking an engineer to join the Uber One Membership team, focusing on developing machine learning optimization solutions to enhance user experience. The role involves collaborating with cross-functional teams and participating in the full development cycle, impacting millions of users globally.

Requirements

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 2+ years of full-time engineering experience.
  • Experience with big-data architecture, ETL frameworks, SQL and database systems such as Hive, Kafka, Cassandra, etc.
  • 1+ years of experience in the development, training, productionization and monitoring of ML optimization solutions at scale.
  • 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++).
  • 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 responsible for large-scale applied machine learning in optimization and personalization.
  • Build high throughput systems that process millions of datapoints each minute and serve hundreds of thousands of QPS.
  • Collaborate with Product, Science and cross-functional teams to brainstorm new opportunities and solutions for model and product iteration.
  • Write high-quality code and uphold standards for testing and coverage.
  • Align with the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions.
  • Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.

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.