Machine Learning Engineer, Recommendations

Lyft, Inc.

Job Overview

Location

Toronto, Canada

Job Type

Full-time

Full Job Description

📋 Description

• As a Machine Learning Engineer on Lyft’s Recommendations team, you will develop and launch algorithms that power core services and impactful products across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control.
• Day to day, you will 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-concepts to explore ML solutions, develop statistical and machine learning models, write production-quality code to launch models at scale, and evaluate systems against business goals.
• You will join a highly motivated team at Lyft solving hard problems with peta-byte scale data in a rapidly growing domain, working in a dynamic, creative, and collaborative environment where your work directly impacts core business aspects.
• In this role, you will deepen your expertise in machine learning workflows, gain experience deploying models at scale using Python or Golang, and contribute to innovative solutions that improve people’s lives through low-cost, ultra-immersive transportation.

🎯 Requirements

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
• 3+ years of Machine Learning experience
• Proficiency in Python, Golang, or other programming language
• Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits
• Excellent communication skills and fluency in English

🏖️ Benefits

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits and family building benefits
• Access to a Lyft funded Health Care Savings Account and RRSP plan to help save for your future
• Subsidized commuter benefits and flexible paid time off policy allowing time off as needed with manager approval
• 18 weeks of paid time off for new parents (biological, adoptive, foster) as a top-up to provincial programs
• Hybrid in-office schedule (minimum 3 days per week: Mondays, Wednesdays, Thursdays) with flexibility to work from anywhere up to 4 weeks per year

Skills & Technologies

Python

Hybrid

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Lyft, Inc.

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About Lyft, Inc.

Lyft is a transportation network company that offers ride-sharing services through a mobile app. Users can request rides from drivers using their own vehicles. The company operates in numerous cities across the United States and Canada, providing a convenient and often more affordable alternative to traditional taxis. Lyft's business model relies on connecting riders with drivers, taking a commission on each fare. Beyond standard rides, Lyft also offers services like shared rides, premium vehicles, and bike/scooter rentals in select markets, aiming to be a comprehensive urban mobility solution.

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