Senior ML Software Engineer, Mapping

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 proof-of-concept to explore and propose ML solutions to both new and existing problems
• Develop statistical, machine learning, or optimization models
• Write production quality code to launch machine learning models at scale
• Evaluate machine learning systems against business goals

Requirements

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
• 5+ years of Machine Learning experience
• Passion for building impactful machine learning models leveraging expertise in one or multiple fields
• Proficiency in Python, Golang, or other 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

Qualifications

• Experience in applying machine learning for business and user impact
• Ability to develop and evaluate statistical, machine learning, or optimization models
• Proficiency in writing production quality code for machine learning models
• Experience in evaluating machine learning systems against business goals

Skills

• Software engineering best practices
• Loves the algorithmic and geospatial side of the challenge
• Data-driven approach from start to end

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Discretionary paid time off
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Pay

The expected base pay range for this position in the San Francisco area is $162,800 - $203,500, not inclusive of potential equity offering, bonus or benefits.

Schedule

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role.