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Added 23 mins ago
Senior Software Engineer, Mortgage Engineering
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 24 mins ago
KG
Reliability Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering…
Added 24 mins ago
SB
Senior Hydraulics and Capacity Engineer
South Bow
Calgary, AB
- Full-time
We are seeking a Senior Hydraulics and Capacity Engineer to provide technical leadership and strategic oversight of operational capacity management for South Bow's crude oil pipeline…
Added 24 mins ago
AW
Software Development Engineer II, S3 Shard Store
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
…existing code, improve operational tooling, collaborate with senior engineers to design new components that shape the future of the system, and build expertise in specific areas of the…
Added 55 mins ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Hands-on Sr. Platform Engineer that will work on innovative and transformational initiatives at TD Securities -- the implementation of the next generation…
Added 55 mins ago
M
Senior Maintenance Engineer
Mosaic
Esterhazy, SK · CA - Esterhazy, SK
- Full-time
The Maintenance Engineer provides in depth support for plant facilities mechanical or electrical systems (rotating and stationary) to increase the facility's overall reliability. Tasks…
Added 55 mins ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 55 mins ago
T
Senior Data Engineer || Ottawa/Toronto || Local only
TestingXperts
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 1 hour ago
GM
Senior Software Engineering - Protocol Operations & Trust
General Motors
Markham, ON
- Full-time
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Added 1 hour ago
SM
Backend Platform Engineer - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
…hand. Hapiko is a Spin Master company, so we pair a small, senior engineering team with the reach of one of the world's largest toy…
Added 1 hour ago
BC
Senior Process Engineer, Advanced Fuels and Chemicals
BBA Consultants
Calgary, AB
- Full-time
BBA is currently seeking a Senior Chemical Engineer to join a Canadian-wide team that offers high-quality expertise and consulting services. As a senior engineer, you’ll support the growth…
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
R&
Senior Azure Cloud Platform Engineer
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Senior Azure Cloud Platform Engineer to join our client in support of an existing vacancy.
Added 1 hour ago
TC
Senior Java Low Latency Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments
Added 1 hour ago
Senior Staff Software Engineer
Diligent Corporation
Vancouver, BC
As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of…
Added 1 hour ago
W
Senior Engineer, Bridges
WSP
Calgary, AB
- Full-time
Eligible for Professional Engineer (P.Eng.) licence in Alberta.
Added 1 hour ago
V
Senior Quality Management System (QMS) Quality Engineer
VitalBio
Oakville, ON
- Full-time
The Senior Quality Management System (QMS) Quality Engineer is a technical leader responsible for maintaining, improving, and ensuring the effectiveness of the Company's Quality Management…
Added 1 hour ago
Security Technology Analyst
University of Toronto
Toronto, ON
Process account provisioning, access modification, suspension, and deprovisioning requests through approved workflows, ticketing systems, and identity management platforms
Added 2 hours ago
VC
Senior Temporary Works Inspector H/F
VINCI Construction Grands Projets Hellas S.A.
Toronto, ON · Greater Toronto Area, Canada
- Temporary
Support the Temporary Works Engineer in implementing the Temporary Works Management Process on the project.
Added 2 hours ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Vancouver, BC
- Full-time
Step into a senior technical leadership role that will shape the future of mine waste management across British Columbia, Alberta, and beyond. As the Regional Lead for Mine Waste Dumps &…
Added 2 hours ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Vancouver, BC
- Full-time
Step into a senior technical leadership role that will shape the future of mine waste management across British Columbia, Alberta, and beyond. As the Regional Lead for Mine Waste Dumps &…
Added 2 hours ago
WI
Senior Environmental Engineer / Geoscientist
WSP in Canada
Toronto, ON
- Full-time
In this senior geoscience leadership role, you’ll provide strategic direction and technical leadership to multidisciplinary environmental teams delivering some of the most complex and…
Added 2 hours ago
L
Full Stack Engineer
Leyton
AB · Alberta, Canada
- €30,000 to €50,000 EUR / year
- Full-time
For the Senior Engineer role, we are looking for:
Added 2 hours ago
E
Senior Data Engineer (banking Domain)
E-Solutions
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 2 hours ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…

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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