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Added 12 mins ago
AC
RQ10989 - Business Architect - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
The Lands and Resources Cluster (LRC) and the Ministry of Natural Resources and Forestry (MNRF) require a Business Architect to support the enhancement of the Forest Resources Inventory…
Added 12 mins ago
IS
Data Architect (AWS)
Iris Software Inc.
Toronto, ON
- Contract
AWS certification (Solutions Architect or Data Analytics Specialty)
Added 12 mins ago
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Group IT Manager
Jaza
Halifax, NS
- Full-time
…broader IT strategy are areas to grow into over time, and a more senior owner may sit above this role later. The Group IT Manager is Jaza's senior IT hire and is accountable for all company…
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
JH
Senior Architect - Cybersecurity
John Hancock
Toronto, ON
- Full-time
The Senior Cybersecurity Architect is responsible for supporting projects that apply new and existing technologies and solutions to solve business needs in the cyber security space, for the…
Added 1 hour ago
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Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…
Added 1 hour ago
SD
Enterprise Business Architect
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking an experienced Enterprise Business Architect
Added 1 hour ago
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RQ10989 - Business Architect - Senior
Maarut
Toronto, ON
- Contract
Ministry of Natural Resources and Forestry (MNRF) require a Business Architect
Added 2 hours ago
Principal Technology Architect
Infosys
Canada
Infosys is seeking a Principal Technology Architect in Banking domain. The resource will be joining our financial services Architecture team, this is a specialized team with expertise in…
Added 2 hours ago
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Senior AI Architect
AltaML
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 2 hours ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 2 hours ago
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Sr. System Administrator
FGF Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong experience in architect / design / deploy Azure IaaS and PaaS solutions based on a range of Azure technologies and services such as Compute, Data Services, App Services and Network…
Added 2 hours ago
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Senior AI Architect
AltaML
AB · Toronto, ON · Calgary, AB
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 2 hours ago
M
Senior Architect - Cybersecurity
Manulife
Toronto, ON · Waterloo, ON
- Full-time
The Senior Cybersecurity Architect is responsible for supporting projects that apply new and existing technologies and solutions to solve business needs in the cyber security space, for the…
Added 3 hours ago
A
Senior AI Architect
AltaML
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 3 hours ago
BC
Workday Solution Architect
BDO Canada
Toronto, ON
- Full-time
As a Workday Solution Architect, you will be responsible for leading solution design, architecture governance, and solution delivery oversight across Workday implementation, optimization,…
Added 3 hours ago
A
Senior AI Architect
AltaML
AB · Edmonton, AB
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 3 hours ago
A
Senior AI Architect
AltaML
Calgary, AB
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 3 hours ago
MR
Mechanical Project Coordinator - Civil Construction
Maple Reinders
Charlottetown, PE
- $70,000 to $90,000 CAD / year
- Full-time
With direction from the Project Manager, initiating and maintaining correspondence with Owner, Architect, Engineers, sub-trades and suppliers
Added 3 hours ago
KG
Enterprise Security Architect - Senior Security Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Role : Enterprise Security Architect - Senior Security Engineer
Added 3 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
We are seeking an experienced Solution Architect to support the Province of New Brunswick, with strong experience in IM/IT, application and solutions architecture, enterprise application…
Added 3 hours ago
CC
Graphic Designer
CCS Creative
Toronto, ON
- Full-time
Senior Graphic & Digital Designer – Restaurant & Hospitality
Added 3 hours ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
…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…
Added 3 hours ago
MR
Mechanical Project Coordinator - Civil Construction
Maple Reinders
Charlottetown, PE
- Full-time
With direction from the Project Manager, initiating and maintaining correspondence with Owner, Architect, Engineers, sub-trades and suppliers
Added 3 hours ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks

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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