Overview

Senior Machine Learning Engineer Jobs in Toronto – Ontario at Lyft

Title: Senior Machine Learning Engineer

Company: Lyft

Location: Toronto – Ontario

Category: IT/Tech, Software Development

Machine Learning Engineer At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open,

inclusive

, and

diverse

organization.

Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Data Science and Machine Learning team, you will work in a

dynamic environment

, where we embrace moving quickly to build the world’s best transportation. Machine learning engineers build systems that make our products predictive, personalized, and adaptive. We’re looking for passionate, driven engineers to take on some of the most interesting and

impactful

problems in ridesharing.

As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly

diverse

. They cut across transportation, economics, forecasting, mapping, 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 Mentor the junior members in the team

Experience:

, , or in Computer Science or other quantitative fields or related work experience4+ 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 Lyft proudly pursues and hires a

diverse workforce

. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disa…

 

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