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Added 9 mins ago
PC
Lead Specialist – IT SAP
Parkland Corporation
Calgary, AB
- Full-time
…validation of the SAP solution supporting logistics modules in an engineer to order…
Added 9 mins ago
WI
Environmental Engineer – Fuel Tank Systems
WSP in Canada
Vaughan, ON
- Full-time
Build the Future with Us – As an Experienced Environmental Engineer within our Contaminated Lands team in Barrie, Ontario, you will shape environmental solutions that protect communities,…
Added 9 mins ago
PE
Process Engineer
Paladin Energy
Saskatoon, SK
- Full-time
This is a career-defining opportunity for an ambitious and technically strong Process Engineer to join one of Canada's most exciting new uranium developments and play a pivotal role in…
Added 9 mins ago
WI
Civil Engineer, Municipal Engineering & Land Development
WSP in Canada
Smithers, BC
- Full-time
WSP is seeking an experienced Civil Engineer (Municipal & Land Development) to join our growing Infrastructure team in Smithers, BC.
Added 9 mins ago
WI
Civil Engineer, Municipal Engineering & Land Development
WSP in Canada
Smithers, BC
- Full-time
WSP is seeking an experienced Civil Engineer (Municipal & Land Development) to join our growing Infrastructure team in Smithers, BC.
Added 11 mins ago
WI
Environmental Engineer – Fuel Tank Systems
WSP in Canada
Markham, ON
- Full-time
Build the Future with Us – As an Experienced Environmental Engineer within our Contaminated Lands team in Barrie, Ontario, you will shape environmental solutions that protect communities,…
Added 11 mins ago
WI
Civil Engineer, Municipal Engineering & Land Development
WSP in Canada
Terrace, BC
- Full-time
WSP is seeking an experienced Civil Engineer (Municipal & Land Development) to join our growing Infrastructure team in Terrace, BC.
Added 11 mins ago
WI
Environmental Engineer – Fuel Tank Systems
WSP in Canada
Barrie, ON
- Full-time
Build the Future with Us – As an Experienced Environmental Engineer within our Contaminated Lands team in Barrie, Ontario, you will shape environmental solutions that protect communities,…
Added 11 mins ago
WI
Graduate Project Engineer or Geoscientist
WSP in Canada
St. Catharines, ON
- Full-time
Eligibility for registration and active progress toward becoming a Professional Engineer with Professional Engineers Ontario or a Professional Geoscientist with Professional Geoscientists…
Added 11 mins ago
WI
Experienced Environmental Engineer / Geoscientist
WSP in Canada
St. Catharines, ON
- Full-time
Eligibility for registration as a Professional Engineer, P.Eng., or Professional Geoscientist, P.Geo. Strong candidates who are not currently eligible may also be considered.
Added 11 mins ago
WI
Experienced Environmental Engineer / Geoscientist
WSP in Canada
St. Catharines, ON
- Full-time
Eligibility for registration as a Professional Engineer, P.Eng., or Professional Geoscientist, P.Geo. Strong candidates who are not currently eligible may also be considered.
Added 11 mins ago
WI
Graduate Project Engineer or Geoscientist
WSP in Canada
St. Catharines, ON
- Full-time
Eligibility for registration and active progress toward becoming a Professional Engineer with Professional Engineers Ontario or a Professional Geoscientist with Professional Geoscientists…
Added 11 mins ago
C
Senior Google Cloud Data Engineer
CGI
Halifax, NS
- Full-time
…support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our…
Added 11 mins ago
WI
Civil Engineer-in-Training
WSP in Canada
Kamloops, BC
- Full-time
Assist in the preparation of engineering reports, technical memoranda, and permit applications for municipal and regulatory approvals.
Added 11 mins ago
MV
*Senior Project Engineer
Metro Vancouver
Burnaby, BC
- Full-time
Our Water Services Department is seeking a *Senior Project Engineer who will be responsible for providing controls and automation programming, technical support, electrical and…
Added 11 mins ago
WI
Senior Electrical Engineer - Mission Critical & Data Centers
WSP in Canada
Toronto, ON
- Full-time
…digital infrastructure across Canada. As a Senior Electrical Engineer, you will provide technical leadership on some of the most complex and innovative data center projects in the industry,…
Added 11 mins ago
WI
Senior Electrical Engineer - Mission Critical & Data Centers
WSP in Canada
Ottawa, ON
- Full-time
…digital infrastructure across Canada. As a Senior Electrical Engineer, you will provide technical leadership on some of the most complex and innovative data center projects in the industry,…
Added 11 mins ago
WI
Senior Engineer, Bridges
WSP in Canada
Calgary, AB
- Full-time
Eligible for Professional Engineer (P.Eng.) licence in Alberta.
Added 13 mins ago
Civil Engineer-in-Training
WSP
Kamloops, BC
Assist in the preparation of engineering reports, technical memoranda, and permit applications for municipal and regulatory approvals.
Added 13 mins ago
Project Manager
WSP
Medicine Hat, AB
Professional Engineer (P.Eng.) or Professional Licensee in Engineering (P.L.(Eng.)) designation registered in Alberta.
Added 13 mins ago
CN
Process Engineer (EIT or P.Eng.)
Canadian Natural
Fort McMurray, AB
- Full-time
We welcome applications from both Process Engineer-in-Training (EIT) candidates and experienced Professional Engineers (P.Eng.). The level of the position will be determined based on the…
Added 13 mins ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…illustration experience. We are seeking a Full-Stack Software Engineer to join our Calculations Squad and develop capabilities that help advisors and customers make informed life insurance…
Added 29 mins ago
Engineer Summer Student, Potash | Talent Pool
BHP
Canada
As an Engineer Summer Student, you'll gain practical experience supporting one of Canada's most significant mining developments. Working alongside experienced engineers and technical…
Added 29 mins ago
GIS Summer Student, Potash | Talent Pool
BHP
Canada
…geospatial data, create maps and visualizations, support GIS applications, and contribute to projects that improve how spatial information is used across the…
Added 29 mins ago
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…

Lyft

Senior Machine Learning Engineer, Recommendations

Toronto, ON, Canada

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Job details

Experience: 5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields
Posting language: English
Posted: Oct 6, 2026

Original job description

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 a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a 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 and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.

Responsibilities:

Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.
System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems.
Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks - critically evaluating new research and identifying high-impact use cases across business areas.
Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals.
Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions.
Mentorship & Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration.
Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team.

Experience:

M.S. or Ph.D. in Computer Science or related technical field
5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields
Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
Experience with translating state-of-the-art ML research into production systems
Proficiency in Python, Golang, or other programming language
Proven ability to tackle ambiguous problems and deliver solutions at scale.
Strong communication and interpersonal skills for effective cross-functional collaboration.

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 with company match 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 and Lyft ride credits

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 contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is $149,600-$187,000 CAD, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply About employer

More about this job

Responsibilities

The role involves designing, building, and deploying scalable machine learning models for real-time applications while architecting reliable ML pipelines. You will also provide technical leadership, mentor junior engineers, and collaborate across teams to align ML initiatives with business goals.

Requirements

Candidates must hold an M.S. or Ph.D. in Computer Science or a related field with at least 5 years of experience in machine learning modeling. Proficiency in Python or Golang, deep learning frameworks, and the ability to translate research into production systems are required.

Skills

Machine learning
Deep learning
Recommendation systems
TensorFlow
PyTorch
Python
Golang
System architecture
LLMs
Statistical analysis
Regression analysis
Hypothesis testing
Data science
Technical leadership
Mentorship
Production-ready deployment

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Recommendation Systems
Deep Learning
TensorFlow
PyTorch
Python
Golang
LLMs
Data Science
System Architecture
ML Pipelines
Regression Analysis
Hypothesis Testing
Production Engineering
Applied AI
Software Engineering
Technical Leadership
Mentorship
Ride-sharing
Data-driven decision making
Scalable systems
Algorithm development
Research to production
Cross-functional collaboration

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