Senior ML Software Engineer, Recommendations
Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.
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
Skills
Machine Learning, Python, Go, Recommendation Systems, Supervised Learning, Reinforcement Learning, Forecasting, Multi-Armed Bandits, Data Analysis, Statistical Modeling
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