8 hours 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 ML 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 or another quantitative field, or related work experience.
- At least 5 years of machine learning experience.
- Passion for building impactful machine learning models using expertise in one or more relevant fields.
- Proficiency in Python, Golang, or another programming language.
- Excellent communication skills and fluency in English.
- Strong understanding of machine learning methodologies, including 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.
- Paid holidays and paid time off, with 18 weeks of paid parental leave for biological, adoptive, and foster parents.
- Subsidized commuter benefits, monthly Lyft credits, and complimentary Lyft Pink membership.
- Hybrid schedule requiring in-office work three days per week on Mondays, Wednesdays, and Thursdays, with flexibility to work from anywhere for up to four weeks per year.
Categories
About Lyft
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.