Find work in Canada.

321,876 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 3 mins ago
GS
Structural Designer (EIT / P.Eng.) - Civil & Construction Engineering
Grade Separation Systems
Ottawa, ON
- Full-time
Art Engineering Inc. (AEI) is currently seeking a Junior or Intermediate Structural Designer (Engineer in Training or Professional Engineer) to join our growing team in Ottawa, Ontario. AEI…
Added 3 mins ago
PT
Manufacturing Liaison
Platinum Trailers
St. Marys, ON
- $55,000 to $75,000 CAD / year
- Full-time
We're not necessarily looking for an engineer. We're looking for someone who has "been there and done that" on the production floor, understands the challenges faced by manufacturing teams,…
Added 3 mins ago
AC
Software Engineer (.NET / C# and AI/IoT)
Artelia Canada
Montreal, QC
- Full-time
As a Software Engineer (.NET / C# and AI/IoT) within the Telecommunications team, you will:
Added 3 mins ago
NC
Engineer, Civil/Structural
Newmont Corporation
Vancouver, BC
- Full-time
Act as Engineer of Record (EoR) for assigned scopes, ensuring compliance with professional engineering standards, applicable codes, EGBC requirements, and engineering governance processes.
Added 3 mins ago
IG
Quality Assurance Supervisor
IMT Group
Port Colborne, ON
- $65,000 to $85,000 CAD / year
- Full-time
Added 3 mins ago
TU
IUOE Millwright
The University of British Columbia
Vancouver, BC
- Full-time
…Machining experience will be considered an asset. 4th Class Power Engineer Certificate is…
Added 3 mins ago
B
Senior Combat Systems Engineer/Specialist
BMT
Dartmouth, NS
- $105,000 to $150,000 CAD / year
- Full-time
Job Title: Senior Combat Systems Engineer/Specialist
Added 3 mins ago
DC
Construction Supervisor
DDI Canada Investment Management Ltd.
Halifax, NS
- Full-time
Work with the engineer of record, geotechnical and testing consultants, and municipal and Halifax Water inspectors, and keep inspection and testing records current
Added 3 mins ago
VS
IAM Engineer - PingFed
VySystems Singapore
Toronto, ON
- Contract
IAM Engineer – Java/Python to support with Single Sign On implementations, Employee PingFed
Added 3 mins ago
TI
Sr. Analytics Developer
Techtronic Industries Canada Inc.
Toronto, ON
- Full-time
Collaborate with the Data Engineer to ensure seamless integration between pipelines and reports.
Added 4 mins ago
LC
Engineer - Process
Linamar Corporation
Guelph, ON
- Full-time
Added 4 mins ago
LC
Mechanical Design Engineer- Continuous Improvement
Linamar Corporation
Guelph, ON
- Full-time
Mechanical Design Engineer, Continuous Improvement
Added 4 mins ago
H
Maintenance Services Worker
HealthCareersInSask.ca
Ituna, SK
- Part-time
Refrigeration Engineer certificate, where required by the job
Added 4 mins ago
M
Freelance Mechanical CFD Engineer - AI Trainer
Mindrift
Remote, Canada
- Part-time
- Remote
Added 4 mins ago
Field Sales Applications Engineer
Ametek, Inc.
Ottawa, ON
We are seeking a Sales Applications Engineer to support the growth of Pixelink's OEM camera business This role combines technical sales, applications engineering, and customer support. You…
Added 19 mins ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join CMHC’s Information Technology team, in the Bilingual Data Engineer position. You will design, build and support reliable data pipelines and reusable data assets on Azure and…
Added 19 mins ago
TN
Process Engineer
The NARMCO Group
Windsor, ON
- Full-time
…team, we have a challenging career opportunity for a Process Engineer in our Engineering…
Added 19 mins ago
A
Geotechnical Engineer -Project Manager
AECOM
Burnaby, BC
- $112,000 to $160,000 CAD / year
- Full-time
AECOM is currently seeking a Geotechnical Engineer -Project Manager to lead consulting delivery of engineering services for various infrastructure projects in the Vancouver and other…
Added 19 mins ago
E
Site Project Manager
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
The Site Project Manager directs the Site Lead and Crew Leads as applicable to lead execution. The Project Engineer retains technical authority for commissioning methods, technical…
Added 19 mins ago
M
Senior Full Stack Engineer, Customer & Cardholder Experiences
Marqeta
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Full Stack Software Engineer to join our Customer & Cardholder Experiences team, delivering innovative UIs and embeddable solutions to transform the experience…
Added 19 mins ago
H
Technical Project Manager
Heidi
Remote, Canada
- $130,000 to $145,000 CAD / year
- Full-time
- Remote
…project plans in collaboration with Engineering and the Solutions Engineer, translating customer requirements and solution briefs into structured, executable delivery…
Added 33 mins ago
A
Rail Infrastructure Co-op Student - Winter 2027
AtkinsRéalis
Vancouver, BC
- Full-time
…committed to leading our clients across our various end markets to engineer a better future for our planet and its…
Added 33 mins ago
CE
Senior Electrical Engineer, Traffic Signals Team Lead
Colm Engineering Ltd
Hamilton, ON
- Full-time
Final approver and signing engineer on all drawings, reports and customer facing material as per PEO
Added 33 mins ago
CE
Project Designer/Manager – Traffic Signals
Colm Engineering Ltd
Hamilton, ON
- Full-time
Added 33 mins ago
LA
Avionics Engineer
Logic Air
Blainville, QC
- Full-time

Lyft

Senior Machine Learning Engineer, Recommendations

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

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

Report this job