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Added 2 mins ago
LC
Mechanical Design Engineer- Continuous Improvement
Linamar Corporation
Guelph, ON
- Full-time
Mechanical Design Engineer, Continuous Improvement
Added 2 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 17 mins ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
…reflect the diversity of Canada’s population, we encourage applications from women, Indigenous Peoples, persons with disabilities, 2SLGBTQI+ individuals, veterans, and racialized peoples.…
Added 17 mins ago
TN
Process Engineer
The NARMCO Group
Windsor, ON
- Full-time
Our goal is to attract talented and motivated individuals who possess the desire to excel in their field. Our success depends on the imagination, skill and teamwork of our employees. We…
Added 30 mins ago
E
Environmental Field Technician
Englobe
Toronto, ON · Etobicoke, ON
- Full-time
Collect detailed field observations, maintain accurate field notes, and complete chain-of-custody documentation;
Added 30 mins ago
T
Intermediate Software Engineer (Agentic AI Verification)
Trulioo
Vancouver, BC
- Full-time
Reporting to the Senior Director, Engineering, the Intermediate Software Engineer will be responsible for building and hardening Trulioo's Agentic AI Verification capabilities, taking…
Added 46 mins ago
LT
Automation and Build Developer II
LMI Technologies
Burnaby, BC
- Full-time
Join our Software Operations team as a Build & Test Automation Engineer and become the engine behind how our code gets from a developer's keyboard to a sensor on that line.
Added 47 mins ago
PD
Senior Software Engineer - Backend
Parallel Domain
Vancouver, BC
- Full-time
…our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect…
Added 57 mins ago
LC
Mechanical Design Engineer - Line Support
Linamar Corporation
Guelph, ON
- Full-time
…functional issues with machines, determine root cause and resolve field issues, and design new options for…
Added 59 mins ago
O
Sr. Engineer - Vulnerability Management
OnX
Canada
- Full-time
We are seeking a highly skilled Sr. Engineer - Vulnerability Management to join our growing Cybersecurity team. In this role, you will be responsible for identifying, assessing,…
Added 59 mins ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
Perform engineering testing and investigate issues in field environments.
Added 1 hour ago
C
EIT
CIMA+
Vancouver, BC
- $60,480 to $83,160 CAD / year
- Full-time
At CIMA+, you’ll find a place where your ideas and perspectives are welcomed and encouraged. In both the field and at the office, you’ll get plenty of opportunities to reach your full…
Added 1 hour ago
W
Civil Engineer, Municipal Engineering & Land Development
WSP
Smithers, BC
- Full-time
WSP is seeking an experienced Civil Engineer (Municipal & Land Development) to join our growing Infrastructure team in Smithers, BC.
Added 1 hour ago
W
Civil Engineer, Municipal Engineering & Land Development
WSP
Terrace, BC
- Full-time
WSP is seeking an experienced Civil Engineer (Municipal & Land Development) to join our growing Infrastructure team in Terrace, BC.
Added 1 hour ago
LT
Automation and Build Developer II
LMI Technologies
Burnaby, BC
- $75,200 to $107,160 CAD / year
- Full-time
Join our Software Operations team as a Build & Test Automation Engineer and become the engine behind how our code gets from a developer's keyboard to a sensor on that line.
Added 1 hour ago
KG
Reliability Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
The Reliability Engineer, as part of the Asset Management team, plays a vital role in enhancing the reliability, performance, and life cycle management of critical equipment assets. This…
Added 1 hour ago
SI
Software Engineer, Android, Level 4
Snap Inc.
Toronto, ON
- Full-time
We’re looking for an Android Engineer to join Snap Inc!
Added 1 hour ago
WL
Market Manager - Data Center & Energy
Weidmuller Ltd
Markham, ON
- $140,000 to $160,000 CAD / year
- Full-time
Lead cross-functional and virtual teams involving Sales, Applications, Product Management, Marketing, Operations, Customer Support, global account teams, and other subsidiaries.
Added 2 hours ago
Graduate Project Engineer or Geoscientist
WSP
St. Catharines, ON
…geological and hydrogeological projects. Through a blend of field investigations, environmental monitoring, data interpretation, and reporting, you'll build practical experience while…
Added 2 hours ago
T
Software Engineer II - Angular / UI
TD
Toronto, ON
- Full-time
Easyweb team is looking to on-board a self-starting, high-performing frontend software engineer with a strong engineering mindset to help us grow in our online application.
Added 2 hours ago
Senior Engineer - Mechanical Systems and Equipment
Westinghouse Electric Company, LLC
Kitchener, ON
…creative. We think differently. This goes beyond our technical applications and products. We must incorporate innovation into all aspects of our business to drive greater efficiency, create…
Added 2 hours ago
KC
Site Reliability Engineer
KPMG Canada
Vaughan, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 2 hours ago
AL
Principal Product Applications Engineer - Scorpio
Astera Labs
Vancouver, BC
- Full-time
…CPUs, and accelerators at rack scale. As a Principal Product Applications Engineer on the Scorpio team, you will be the technical face of our switching portfolio to the world's leading…
Added 2 hours ago
C
EIT
CIMA+
Vancouver, BC
- $60,480 to $83,160 CAD / year
- Full-time
At CIMA+, you’ll find a place where your ideas and perspectives are welcomed and encouraged. In both the field and at the office, you’ll get plenty of opportunities to reach your full…
Added 2 hours ago
GM
Senior Software Engineering - Protocol Operations & Trust
General Motors
Markham, ON
- Full-time
No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

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.

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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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