Machine Learning Innovator

2 weeks ago

Toronto, Ontario, Canada Lyft Full time

Lyft's mission is to revolutionize the way people move around cities, and we're seeking a highly skilled Machine Learning Engineer to join our team.

As a critical thinker with experience in machine learning workflows, you'll work on challenging problems that require creative solutions. Your passion for building impactful models will drive your success in this role.

We're looking for someone who can develop and launch algorithms that power our platform's core services. Our diverse set of problems spans 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

Qualifications:

  • 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

Benefits:

  • 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

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.

The estimated salary for this role is $140,000-$170,000 per year, depending on experience.

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