Machine Learning Engineer,Recommendations Job Toronto area,Ontario Canada,IT/Tech

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Trust & Safety, Growth and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building next-generation platform for low-cost, ultra-immersive transportation to improve people’s lives warrants modern ML utilizing peta-byte scale data.

Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.

If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services and impactful products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.

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

3+ 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

Child care and pet benefits

Access to a Lyft funded Health Care Savings Account

RRSP plan to help save for your future

In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a 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.

Lyft also strives for a healthy and safe workplace and strictly prohibits 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…


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Machine Learning Engineer, Recommendations