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Added 3 mins ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
…Intelligence (AI) to help establish and advance EDC's AI-enabled software development capabilities. This role will focus on designing and implementing AI-powered developer experiences,…
Added 3 mins ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $96,557 to $128,743 CAD / year
- Full-time
…Intelligence (AI) to help establish and advance EDC's AI-enabled software development capabilities. This role will focus on designing and implementing AI-powered developer experiences,…
Added 3 mins ago
S
Specialist, Cloud Infrastructure (Solution Architect)
SaskPower
Regina, SK
- Full-time
Automate Azure infrastructure provisioning and configuration using Azure DevOps and Power Platform
Added 3 mins ago
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Software Engineer- Entry Level
PheedLoop
Toronto, ON
- Full-time
Demonstrated passion for software development through personal projects, side builds, or curiosity-driven work. Excited to receive mentorship, apply feedback, and keep leveling up your…
Added 3 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Partner with DevOps and application teams to improve platform reliability, deployment practices, and operational standards.
Added 3 mins ago
C
Specialist Solution Management-CA
CN
AB · Edmonton, AB
- Full-time
Participate in the development of a new critical dispatch system (i.e., PDS2.0) being developed by Wabtec
Added 6 mins ago
Digital Project Manager
Zulu Alpha Kilo
Toronto, ON
Lead production: Partner with agency producers, account managers, and creatives to deliver on time, on budget, and on brief.
Added 6 mins ago
Bilingual Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
…this position, you will be responsible for infrastructure, platform engineering, managing, monitoring, and optimizing cloud infrastructure services to ensure high availability, scalability,…
Added 6 mins ago
Design Verification Engineer - technical lead, Annapurna Labs
Amazon
Toronto, ON
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and our Custom Silicon organization is revolutionizing how we deliver cloud services to our…
Added 19 mins ago
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Backend Engineer, Developer SDKs
Stripe
Toronto, ON
- Full-time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 21 mins ago
Key Account Manager (Bilingual French)
Questrade Financial Group
Toronto, ON
Flexiti sits at the intersection of fintech, retail, and consumer lending - a $1.6B+ platform serving hundreds of thousands of Canadian consumers through major merchant partnerships. We've…
Added 35 mins ago
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Director, Digital Experience Platforms
Sobeys
Mississauga, ON
- Full-time
…the technology execution of web, mobile, content, search, UX platform capabilities, and front-end engineering ecosystems, ensuring seamless, scalable, secure, and high-performing customer…
Added 37 mins ago
SL
Vice President, Product Management
Sitero LLC
Mississauga, ON
- Full-time
Sitero is seeking a strategic, execution-oriented Vice President of Product Management to lead the product vision and roadmap across our growing portfolio of eClinical and eCompliance…
Added 47 mins ago
C
Salesforce Omnistudio Lead
Cognizant
Toronto, ON
- $70,000 to $120,000 CAD / year
- Full-time
As a Salesforce OmniStudio Tech Lead, you will make an impact by leading the design, development, and delivery of scalable Salesforce Industries solutions using OmniStudio and Salesforce…
Added 47 mins ago
ZA
Digital Project Manager
Zulu Alpha Kilo
Toronto, ON
- Full-time
Lead production: Partner with agency producers, account managers, and creatives to deliver on time, on budget, and on brief.
Added 47 mins ago
OC
Finance Team Lead - Schools
Ottawa Catholic School Board
Ottawa, ON
- Full-time
The OCSB is currently seeking a Finance Team Lead - Schools . The possible work addresses for this position can be found in our .
Added 47 mins ago
R
Senior Communications Specialist (English Services) (On-Site)
Radio-Canada
Kelowna, BC
- Full-time
Community Engagement: Lead local outreach, events, and strategic partnerships in line with strategy in B.C.’s Interior to establish CBC as relevant to young, diverse, and underrepresented…
Added 51 mins ago
Software Engineer
Scotiabank
Toronto, ON
As a Software Engineer on Scotiabank’s Data & AI Technology team, you will be involved in designing, building, and scaling our enterprise data catalog and data management solutions…
Added 51 mins ago
Senior Manager, Salesforce Engineering
Scotiabank
Toronto, ON
We’re looking for a Senior Manager, Salesforce Engineering to lead the strategy, delivery, and evolution of our Salesforce platform across multiple business lines. You’ll own the…
Added 51 mins ago
T
Sr. Business Systems Analyst
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 51 mins ago
SD
Technical Project Manager
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
coordinate, support and/or assist with planning, development and
Added 51 mins ago
E
Sr. Product Mgr, eBay Live - Discovery
eBay
Toronto, ON
- Full-time
Lead end-to-end product development for high-impact initiatives spanning personalization, recommendations, ranking, and discovery experiences, from opportunity identification and…
Added 1 hour ago
A
Senior AI Architect
AltaML
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
…years of industrial and academic experience in data science, software engineering, product development, and machine learning…
Added 1 hour ago
BP
Manager, People Systems & Automation
Bora Pharmaceuticals
Mississauga, ON
- Full-time
Bora Pharmaceuticals is a premier international contract development and manufacturing organization (CDMO) specializing in formulation development, clinical and commercial manufacturing,…
Added 1 hour ago
M(
Manager, Business Development
MaintainX (An Autodesk Company)
Remote, Canada
- $136,500 to $200,000 CAD / year
- Full-time
- Remote
The careers. Give every rep a development plan with a real path to AE or team lead. You own those promotions actually happening.

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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