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
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