Senior ML Software Engineer, Mapping
As a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.
About the job
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 goal
Experience:
- 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
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
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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Skills
Python, Go, Machine Learning, Supervised Learning, Forecasting, Recommendation Systems, Reinforcement Learning, Multi-Armed Bandits
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