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Added 9 mins ago
J
Manager of Projects (MOP)
Jacobs
AB · Edmonton, AB
- $168,600 to $221,325 USD / year
- Full-time
Jacobs is expanding its Energy & Power (E&P) team to support the rapidly growing power and infrastructure needs of data centers and private developers. As Manager of Projects (MOP), you…
Added 9 mins ago
JE
Senior Electrical Engineer
Juno Engineering Canada Inc.
Calgary, AB
- Full-time
Are you a seasoned professional with a passion for innovation in electrical, instrumentation, and controls engineering? At Juno Engineering Canada, we empower our team to drive sustainable…
Added 9 mins ago
SI
Product Manager - Digital Products (Telematics & Innovation)
Skyjack Inc.
Guelph, ON
- Full-time
Product Manager – Digital Products (Telematics & Innovation)
Added 10 mins ago
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Manager, Architecture & Design (Enterprise Architect)
BDO
AB · Winnipeg, MB · Halifax, NS · Calgary, AB
- Full-time
The Manager, Architecture & Design leads the enterprise and solution architecture function, aligning technology decisions with business strategy. This role sets architecture direction and…
Added 24 mins ago
Product Manager
Asana
Vancouver, BC
We're looking for a Senior Product Manager to lead our Integrations Platform team and build the connective tissue between Asana and the broader tools, data systems, and developer ecosystem…
Added 39 mins ago
IS
Project Manager, Performance
Irving Shipbuilding
Dartmouth, NS
- Full-time
The Project Manager serves as the primary point of programmatic performance within the Programs’ team, ensuring compliance with cost, schedule, and/or scope. This role supports the River…
Added 39 mins ago
MS
AI&T manager, SpaceCraft Unit
MDA Space
Sainte-Anne-de-Bellevue, QC
- Full-time
The AI&T Manager manages the Assembly, Integration and test portion of a program, an element of a program, a product, to meet customer and Company expectations. A broader objective of this…
Added 1 hour ago
B
Manager, Architecture & Design (Enterprise Architect)
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Vancouver, BC
- Full-time
The Manager, Architecture & Design leads the enterprise and solution architecture function, aligning technology decisions with business strategy. This role is for an existing vacancy and…
Added 1 hour ago
Gestionnaire des services TI / IT Service Manager
mthree
Montreal, QC
Added 1 hour ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON
- Full-time
Education: Bachelor's degree in STEM (e.g., Science, Technology, Engineering, Mathematics, Statistics, Data Science, Economics).
Added 1 hour ago
People Business Partner, Lyft Urban Solutions
Lyft
Montreal, QC
…Montreal team sits at the heart of that work, bringing together engineering, manufacturing, supply chain, operations, marketing and commercial teams under one…
Added 1 hour ago
V
UX Researcher
Vasco
Remote, Canada
- Full-time
- Remote
…all the time. We structure CRM, billing, calls, and support data into a semantic layer where every metric is sourced, every definition is locked, and every answer is deterministic, then…
Added 1 hour ago
SM
Senior Manager, Business Insights
Spin Master Ltd
Toronto, ON
- Full-time
We are looking for a strategic and technical Sr. Manager, Business Insights to own and drive the Looker strategy and dashboard ecosystem for our global Toy business. In this role, you will…
Added 1 hour ago
A
Sr. Support Operations Manager
Ashby
Canada
- Full-time
…someone to bring them together. That's why we're hiring our first Senior Support Operations Manager to lead the Support Operations organization: Systems, Workforce Management, Quality, and…
Added 1 hour ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
…Azure, and/or Google), API-based development, REST framework, data engineering, large-scale API gateway environments, etc. Knowledge of AIML and hands-on experience implementing solutions…
Added 1 hour ago
M
Gestionnaire des services TI / IT Service Manager
mthree
Montreal, QC
- Full-time
Added 1 hour ago
T
Business Reporting Analyst
TEEMA
Burnaby, BC
- $40 to $60 CAD / hour
- Contract
…comfortable working independently with business groups and senior stakeholders - asking the right questions, gathering information, analyzing complex data, and turning it into clear,…
Added 1 hour ago
H
Senior Electrical Power Engineer
HDR
Vancouver, BC
- Full-time
The Senior Electrical Power Engineer candidate should have experience within the utility scale power and renewable energy industry and be capable of leading teams for power generation…
Added 1 hour ago
JH
Business Development Manager
John Henry Foster Minnesota, Inc.
Winnipeg, MB
- Full-time
…of specialized companies, we deliver innovative technology, engineering expertise, and trusted customer support to solve complex manufacturing challenges and create lasting value. Join our…
Added 1 hour ago
Senior Administrator, Core Datastorage
Domtar Products
Montreal, QC
The location in Montreal, (Quebec, Canada), is seeking talent to fill the position of Senior Administrator, Core Datastorage. This job is full-time permanent.
Added 1 hour ago
MU
Web Application Specialist
McGill University
Canada
- Full-time
At Canadian Centre for Computational Genomics (C3G) at McGill University, we build open-source Research Data Management (RDM) solutions that support every stage of the genomics and health…
Added 2 hours ago
WI
Remediation Project Manager
WSP in Canada
Smithers, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions. We are pathfinders and impact makers.
Added 2 hours ago
WI
Remediation Project Manager
WSP in Canada
Smithers, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions. We are pathfinders and impact makers.
Added 2 hours ago
ZC
Bilingual Sr Auto Claims Specialist
Zurich Canada
Montreal, QC
- Full-time
Reporting to the Sr. Claims Manager, Property & Motor you will handle a portfolio of intermediate to complex commercial auto claims to resolution, while providing technical guidance to…
Added 2 hours ago
WI
Remediation Project Manager
WSP in Canada
Terrace, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions. We are pathfinders and impact makers.

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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