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About the Role

As an Applied Scientist specializing in Machine Learning and Operations Research, you will develop mathematical models and launch algorithms that power key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience.

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

Skills

Machine Learning
Operations Research
Python
Optimization
Data Analysis
ML model building
ML model evaluation

Location

San Francisco area

Work Type

Hybrid
In-office

Experience Level

2+ years

Education Level

M.S. or Ph.D.

Salary/Compensations

$193,600 - $242,000

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
Discretionary paid time off for salaried team members
15 days paid time off for hourly team members
18 weeks of paid parental leave
Subsidized commuter benefits
Monthly Lyft credits and complimentary Lyft Pink membership

About the Company

Lyft's purpose is to serve and connect.
Lyft aims to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Equal Opportunity

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.