Senior Machine Learning Engineer
1 month ago
At Lyft, we're pushing the boundaries of transportation innovation, and we need a talented Machine Learning Engineer to join our team. As a key member of our ML squad, you'll develop and launch algorithms that power our platform's core services, tackling diverse problems across transportation, economics, forecasting, mapping, personalization, and adaptive control.
Responsibilities:- Collaborate 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
- B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
- 4+ 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
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Access to a Health Care Savings Account
- In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
- 4 Floating Holidays each calendar year prorated based off of date of hire
- 10 paid sick days per year regardless of province
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Lyft is committed to fostering a diverse and inclusive workplace. We believe that every person has the right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.
This role will be in-office on a hybrid schedule in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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