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Machine Learning Engineer II

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Uber

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Location:
United States , New York

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Contract Type:
Not provided

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Salary:

171000.00 - 190000.00 USD / Year

Job Description:

In our ML and Science division, we strive to make magic within Uber’s marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace. We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery.

Job Responsibility:

  • Build statistical, optimization, and machine learning models
  • Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
  • Optimize Uber’s background check spend and onboarding funnel
  • Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
  • Develop matching algorithms for driver to driver mentorship program
  • Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
  • Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
  • Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product

Requirements:

  • PhD, Master or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
  • 2 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
  • Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
  • Experience with any of the following: Spark, Hive, Kafka, Cassandra
  • Experience building and productionizing innovative end-to-end Machine Learning systems
  • Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
  • Experience working with cross-functional teams(product, science, product ops etc)

Nice to have:

  • 3+ years of industry experience in machine learning, including building and deploying ML models
  • Publications at industry recognized ML conferences
  • Experience in modern deep learning architectures and probabilistic modeling
  • Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM
  • Expertise in the design and architecture of ML systems and workflows
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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