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LyftLyftSan Francisco, CA

Staff Applied Scientist

Develop and productionalize ML and optimization models for Lyft's pricing and ETA systems. Requires advanced degree, production ML/algorithms experience, and Python proficiency to solve large-scale marketplace problems.

194k – 242k/yr
Hybrid7+ YOEML Engineering

About the role

Responsibilities

  • Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
  • Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries.
  • Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.
  • Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
  • Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
  • Drive collaboration and coordination with cross-functional teams

Requirements

  • M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
  • 2+ years of algorithms experience in a technology company setting
  • Proficiency with Python and working in a production coding environment
  • Passion for solving unstructured and non-standard mathematical problems and building impactful machine learning models leveraging expertise in one or multiple fields.
  • Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
  • Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem

Benefits

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Skills

Machine Learningoperations researchPythonoptimizationData AnalysisStatisticscomputer scienceAlgorithmsproduction codemetrics

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