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Added 5 mins ago
In Store Bakery - Baker
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Winnipeg, MB
Provide customers with friendly and professional service. Under the direction of the Bakery Manager, prepare baking products for customer purchases. Actively contribute to an environment of…
Added 5 mins ago
Fixed Operations Manager - Toyota Northshore
The Jim Pattison Auto Group
North Vancouver, BC
We are seeking an experienced, results-driven Fixed Operations Manager to lead, direct, and grow our Parts and Service departments. This executive leadership role is responsible for the…
Added 5 mins ago
Digital Content Creator
Corus Entertainment
Toronto, ON
Experience with video production and editing software.
Added 5 mins ago
Cook
Mistral Group of Companies
ON · Brighton, Ontario
Set-up equipment and supplies for daily food production.
Added 5 mins ago
LT
Automation and Build Developer II
LMI Technologies
Burnaby, BC
- $75,200 to $107,160 CAD / year
- Full-time
…itself, every build we ship ends up running on real hardware on a production line, where a bad release means a stopped line, not a page…
Added 6 mins ago
D
Marine Electrical Systems Technician
Davie
Quebec, QC
- Full-time
…supports the Project Management Office (PMO) throughout the production and completion phases, ensuring the reactivation of these systems to hand back to the client. More specifically you…
Added 6 mins ago
D
Project Manager, Innovation & Productivity (IPRO) - Danone Canada
Danone
Boucherville, QC
- $72,000 to $110,000 CAD / year
- Full-time
Our workforce spans the country, with two headquarters (Boucherville, QC, and Toronto, ON), a production facility in Boucherville, and various remote work sites across the provinces.
Added 6 mins ago
CM
Quality Assurance Supervisor
Compass Minerals
Goderich, ON
- Full-time
…in the fight against wildfires. Compass Minerals operates 11 production and packaging facilities with more than 1,800 employees throughout the U.S., Canada and the U.K. Visit…
Added 6 mins ago
5W
Farm Manager
5th World
Williams Lake, BC
- Full-time
The Farm Manager will be the primary on-site operational lead for a new regenerative farm created in partnership between 5th World and the University of British Columbia (UBC). The 44-acre…
Added 6 mins ago
D
Project Manager, Innovation & Productivity (IPRO) - Danone Canada
Danone
Boucherville, QC
- $72,000 to $110,000 CAD / year
- Full-time
Our workforce spans the country, with two headquarters (Boucherville, QC, and Toronto, ON), a production facility in Boucherville, and various remote work sites across the provinces.
Added 6 mins ago
WC
(CAN) Gérant de rayon, fruits et légumes
Walmart Canada
Thetford Mines, QC
- Full-time
Position Summary...The Produce Department Manager at Walmart leads produce associates and oversees department processes to ensure high customer service and meet production targets.…
Added 6 mins ago
A
Product Manager
Affinity
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
We’re looking for an entrepreneurial Product Manager who is excited about building and delivering AI-powered products that create real business impact. This role goes beyond traditional…
Added 6 mins ago
HW
Quality Control Manager
Hooper Welding
Oakville, ON
- $125,000 to $145,000 CAD / year
- Full-time
As our Quality Control Manager, you will run our Quality Control System and lead a QC team of 4–5 in Oakville. You will make sure every boiler, pressure vessel, and piping assembly we build…
Added 6 mins ago
CC
Manager, Finance - Supply Chain Manufacturing
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
We are recruiting a Manager, Finance - Supply Chain Manufacturing, to join our Supply Chain Finance team and help shape the financial success of our manufacturing operations. Reporting to…
Added 6 mins ago
TT
Manufacturing Operations Manager
Tallman Technologies Inc.
Burlington, ON
- Full-time
We are looking for an experienced Manufacturing Operations Manager to take ownership of the day-to-day operation of our production environment.
Added 6 mins ago
PL
Laundry Attendant
Pomeroy Lodging
Kananaskis, AB
- Full-time
Maintain workflow to meet daily production targets and hotel operational needs.
Added 8 mins ago
RG
Senior Engineering Manager
Regiondo GmbH
Toronto, ON
- Full-time
Senior Engineering Manager – Checkfront & Regiondo
Added 22 mins ago
MB
Store Associate
Mary Browns
Toronto, ON
- Up to $17.95 CAD / hour
- Full-time
Added 24 mins ago
TF
Sr Manager Processing
Thermo Fisher Scientific
Mississauga, ON
- Full-time
As a Senior Manager of Formulation Manufacturing at our organization, you'll guide teams responsible for delivering critical pharmaceutical and diagnostic products that help improve health…
Added 24 mins ago
TC
Supervisor, Middle Office
The Citco Group Limited
Toronto, ON
- Full-time
…that any residual risk is captured and signed off prior to production of financial…
Added 37 mins ago
T
Senior Mongo DBA
TD
Toronto, ON · Mississauga, ON
- Full-time
…Microsoft SQL Server and MongoDB. This role focuses on reliable production operations, incident resolution, and continuous improvement while working independently on complex…
Added 37 mins ago
T
Software Engineer II (Java/Spring)
TD
Toronto, ON
- Full-time
…code maintenance and support during testing cycles and post-production deployment and participate in reviewing peer…
Added 37 mins ago
T
Software Engineer II - Angular / UI
TD
Toronto, ON
- Full-time
○ Create components, Templates, Dialogues, Pages, Bundle and deploying them into production environment.
Added 37 mins ago
T
Creative Practice Manager
TD
Toronto, ON
- Full-time
The Manager, Creative Practice (Level 10) will support Tier 1 campaign creative development and production, as well as lead Tier 2 and 3 creative development and production with external…
Added 37 mins ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
Work closely with development and production operation teams to support their needs, troubleshoot issues and enhance the platform.

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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