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Added 10 mins ago
JI
Project Manager, Performance
J.D. Irving, Limited
Dartmouth, NS
- Full-time
Post-secondary degree, in business administration, engineering or related discipline. Additional years of experience may be acceptable in lieu of a degree.
Added 10 mins ago
JI
Reliability Student/Co-op- Winter 2027
J.D. Irving, Limited
Halifax, NS
- Full-time
Currently enrolled in an engineering degree program.
Added 10 mins ago
JT
Chief Technology Officer
Journal Technologies
Victoria, BC
- $205,000 to $275,000 USD / year
Lead the engineering organization with a culture grounded in ownership, craftsmanship, continuous improvement, and pragmatic decision-making.
Added 10 mins ago
AC
AI Developer – Actuarial Tools & Automation (PathWise)
Aon Corporation
Toronto, ON
- Full-time
Skills and experience that will lead to success
Added 10 mins ago
DG
Senior Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
· Plan and lead staged rebuilds of existing products so current clients see no disruption or data loss.
Added 10 mins ago
N
Principal Optical Engineer
Nokia
Ottawa, ON
- Full-time
Lead sustaining for optical performance: production/yield issues, field returns, failure analysis support, root-cause analysis, and durable corrective actions with cross-functional owners.
Added 10 mins ago
Technical Services Engineer (Timmins ON)
Orica
Timmins, ON
Lead product and service trials, implementation projects, and related underground site activities
Added 25 mins ago
E
Technical Program Manager
E-Solutions
Vancouver, BC
- Full-time
The role will lead multi-year transformation programs, platform modernization, enterprise migrations, technical standardization, and cross-functional initiatives involving Engineering,…
Added 25 mins ago
GD
Co-op Winter 2027 Engineering Project Coordinator - 8-16 Months
General Dynamics Mission Systems–Canada
Calgary, AB
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 26 mins ago
Quality Supervisor
Aecon
Kincardine, ON
Integrity. We lead by example, with humility and courage.
Added 26 mins ago
ServiceNow Senior Technical Advisor
Bell
Montreal, QC
5+ years of relevant ServiceNow or enterprise-platform experience, including senior advisory, architecture, or lead engineering responsibilities.
Added 40 mins ago
P
Lead DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 40 mins ago
P
Senior DevOps Engineer
Perceptic
Engineer, BC
- Full-time
This role is designed to become our Lead DevOps Engineer. Over your first 9–12 months you'll take on progressively more of the infrastructure end to end: deployment, operations, security,…
Added 40 mins ago
NG
Artificial Intelligence Management Consultant
NCS Group
Toronto, ON
- Full-time
Work with engineering, data science, and product teams to turn AI opportunities into prototypes, MVPs, and deployable solutions
Added 40 mins ago
AC
Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Location: Markham, ON Department: Engineering Posted: 9/21/2026 Location Name: HSIO-Markham
Added 40 mins ago
LT
Senior Dotnet Developer
Lorven Technologies Inc.
Mississauga, ON
- Contract
Lead technical design discussions and contribute meaningfully to architecture decisions, technology choices, and engineering standards.
Added 40 mins ago
W
Director, Subcontracts - Global Process Owner
Worley
AB · Edmonton, AB
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 40 mins ago
W
Director, Subcontracts - Global Process Owner
Worley
Calgary, AB
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 40 mins ago
G
Manager, Agent Development, Applied AI
Google
Toronto, ON
- Full-time
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Added 40 mins ago
G
Manager, Agent Development, Applied AI
Google
Waterloo, ON
- Full-time
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Added 41 mins ago
EG
Team Lead, Land Development (Subdivisions)
Egis Group
Ottawa, ON
- $125,000 to $150,000 CAD / year
- Full-time
Lead, manage and develop the subdivisions team, including engineering, planning, design and project management professionals.
Added 55 mins ago
O
Technical Services Engineer (Timmins ON)
Orica
Timmins, ON
- Full-time
Lead product and service trials, implementation projects, and related underground site activities
Added 55 mins ago
A
Senior AI Architect
AltaML
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
You will partner closely with industry vertical leaders, engineering teams, and executive stakeholders.
Added 55 mins ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
You are a data engineering leader with a passion for building scalable, reliable, and innovative enterprise data solutions. You bring deep expertise in modern data engineering, cloud…
Added 55 mins ago
ND
AI Solution Architect/FDE (AWS and Azure)
NTT DATA North America
Toronto, ON
- Other
We are seeking an experienced AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC. This role requires a strategic leader who can…

Lyft

Senior Machine Learning Engineer, Recommendations

Toronto, ON, Canada

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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.

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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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