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Added 7 mins ago
M
Senior Account Manager
Medfar
Montreal, QC
- Full-time
…In 2023, we were proud to be named to Deloitte's prestigious Technology Fast 50 and Technology Fast 500 lists, a testament to our employees' exceptional contribution to our success. Join us…
Added 22 mins ago
AC
RQ10989 - Business Architect - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
The role will support the modernization of FRI IMS, including the implementation of centralized data storage using Databricks and Azure Storage, public-facing data exchange capabilities,…
Added 22 mins ago
HR
Contract Manager / Gestionnaire de contrats
Hitachi Rail
Montreal, QC
- Full-time
…work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring…
Added 38 mins ago
WL
Market Manager - Data Center & Energy
Weidmuller Ltd
Markham, ON
- $140,000 to $160,000 CAD / year
- Full-time
Position: Market Manager - Data Center & Energy
Added 38 mins ago
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Mgr, Workforce Mgmt & Capacity Planning
Northwestel
Yellowknife, NT
- Full-time
Reporting to the Senior Manager Shared Service Operations, this position is responsible for providing a centralized service, referred to as the Control Centre, to coordinate, schedule and…
Added 40 mins ago
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Manager, Network Ops Control Centre
Northwestel
Yellowknife, NT
- Full-time
The NOCC Manager is accountable for the monitoring, maintenance, repair, upgrading and overall central technical support of Northwestel’s network system including Internet Provider (IP)…
Added 53 mins ago
T
Associate – Front Office Quant Engineer
TD
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 53 mins ago
T
Sr. Manager, Business Management
TD
Toronto, ON
- Full-time
Lead the team in the development and/or integrated implementation of policies / processes / procedures / changes across multiple functional areas
Added 53 mins ago
Optical Practice Lead
HealthOne
Toronto, ON
Identifyoperationalissues and surface them to the Regional Manager with proposed solutions
Added 53 mins ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
…innovative and transformational initiatives at TD Securities -- the implementation of the next generation Trading Risk Warehouse…
Added 53 mins ago
Principal Engineer, Mechanical Systems & Equipment
Westinghouse Electric Company, LLC
Kitchener, ON
…insights, CANDU expertise, collaborative mindset, and best-in-class technology. We are proud to play a key role in accelerating Canada's energy sustainability and achieving its net-zero…
Added 53 mins ago
Senior Engineer - Mechanical Systems and Equipment
Westinghouse Electric Company, LLC
Kitchener, ON
…insights, CANDU expertise, collaborative mindset, and best-in-class technology. We are proud to play a key role in accelerating Canada's energy sustainability and achieving its net-zero…
Added 53 mins ago
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Senior Manager, Technology Risk Management
BMO
Toronto, ON · FCP
- Full-time
Oversees, monitors, and reports on information and technology risks for a designated portfolio. Develops and monitors the risk management and governance framework and practices leveraged…
Added 54 mins ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
As a PMP-certified Project Manager, you will be responsible for managing small to enterprise-sized Cloud, Data & AI professional services engagements, ensuring they are delivered on time,…
Added 1 hour ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 1 hour ago
A
Bilingual Estates Specialist
Aviso
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Pro-active in problem solving with strong analytical skills, presenting recommendations for review and implementation
Added 1 hour ago
CM
Bilingual Senior Relationship Manager, Relationship Management
CIBC Mellon
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Bilingual Senior Relationship Manager is the single client relationship and service lead for an assigned group of CIBC Mellon’s CGNP and CFI clients. Senior Relationship Managers are…
Added 1 hour ago
VB
Senior Procurement Specialist
Vaco by Highspring
Toronto, ON
- $81,000 to $115,000 CAD / year
- Full-time
Lead the development, implementation, and execution of the annual Procurement Plan.
Added 1 hour ago
Retail Experience Lead
Fire & Flower Inc.
Sarnia, ON
Assist with the implementation of sales strategies and motivate sales team to achieve goals/targets.
Added 1 hour ago
Retail Experience Lead
Fire & Flower Inc.
Windsor, ON
Assist with the implementation of sales strategies and motivate sales team to achieve goals/targets.
Added 1 hour ago
Supervisor, Child and Youth MCY
YMCA of Southwestern Ontario
Middlesex Centre, ON
Reporting to the General Manager, this position provides supervision and coaching to members, staff and volunteers within the Child and Youth programs and service areas ensuring program…
Added 1 hour ago
Principal Product Manager - Platform Security
PagerDuty
Toronto, ON
PagerDuty is seeking a Principal Product Manager, Platform Security to own the strategy and execution of how we secure, harden, and defend our Operations Cloud platform. This role sits…
Added 1 hour ago
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Senior Quality Management System (QMS) Quality Engineer
VitalBio
Oakville, ON
- Full-time
Support development, implementation, and continuous improvement of quality policies, procedures, and processes.
Added 1 hour ago
CN
Manager, Innovation and Commercialization
Canadian Nuclear Laboratories
Chalk River, ON
- Full-time
…you answered yes, our Chalk River location is looking for a Manager, Innovation and Commercialization to lead and execute strategic commercial initiatives that turn novel ideas into impact.…
Added 1 hour ago
K
Project Manager, IT
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
KPMG’s Information Technology Services department is looking for a Project Manager to be part of the Project Services team. The Project Services team provides project management, business…

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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