8 months ago
Base Salary
$163k - $204k/yr
Responsibilities
- Partner with engineers, data scientists, product managers, and business partners to apply machine learning for business and user impact.
- Perform data analysis and build proofs of concept to explore and propose machine learning solutions.
- Develop statistical, machine learning, and optimization models.
- Write production-quality code to launch machine learning models at scale.
- Evaluate machine learning systems against business goals.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, a quantitative field, or a related field, or related work experience.
- At least five years of machine learning experience.
- Passion for building impactful machine learning models in one or more relevant fields.
- Proficiency in Python, Golang, or another programming language.
- Excellent communication skills and fluency in English.
- Strong understanding of supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits.
Benefits
- Medical, dental, and vision insurance options with additional programs available when enrolled.
- Mental health, family building, child care, and pet benefits.
- 401(k) plan with company match.
- 12 observed holidays and paid time off, with 18 weeks of paid parental leave.
- Subsidized commuter benefits, monthly Lyft credits, and complimentary Lyft Pink membership.
- Hybrid in-office schedule of three days per week on Mondays, Wednesdays, and Thursdays, with flexibility to work remotely for up to four weeks per year.
Categories
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.