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Added 4 mins ago
LW
Sales Engineer
Linkwave Wireless Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and deliver robust technical solutions to resolve client challenges
Added 4 mins ago
B
Senior Naval Architect - Team Lead
BMT
Ottawa, ON
- $105,000 to $150,000 CAD / year
- Full-time
Job Title: Senior Naval Architect - Team Lead
Added 4 mins ago
C
Sr. Practice Consultant-Public Cloud
CBTS
Toronto, ON
- Full-time
The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of…
Added 4 mins ago
Y
OpenText Exstream SME / CCM Solution Architect
Yochana
Toronto, ON
- Full-time
Position Name – OpenText Exstream SME / CCM Solution Architect
Added 4 mins ago
IG
Training Architect
Infotree Global Solutions
Mirabel, QC
- Contract
As the Training Architect, you will play a critical role in designing and overseeing the implementation of training programs while managing all aspects of coordination, logistics, and…
Added 4 mins ago
KG
Network Security Architect
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
15+ years of IT experience in designing and delivering enterprise Network Security solutions.
Added 4 mins ago
FT
Lead Software Engineer
Franklin Templeton
Toronto, ON
- Full-time
Lead implementation of architecture and translate platform strategy into scalable data solutions
Added 4 mins ago
T
Data Engineer
Tekshapers
Toronto, ON
- Full-time
…data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and…
Added 33 mins ago
AB
Senior Salesforce Enterprise Architect (hybrid job)
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Senior Salesforce Architect is responsible for defining, governing, and driving enterprise Salesforce architecture strategy across multiple business and technology initiatives. This…
Added 33 mins ago
KC
Senior Consultant, Finance Transformation-Insurance
KPMG Canada
Toronto, ON
- Full-time
We are seeking a highly motivated Senior Consultant to support our Toronto Team in delivering transformative solutions and building a market-leading practice. If you thrive in dynamic…
Added 33 mins ago
V
Solutions Architect
VySystems
Toronto, ON
- Full-time
8-15+ years of overall experience in Customer Communications Management (CCM) solutions.
Added 35 mins ago
IW
Senior Developer, AI-Enabled
Iconic Wineries of British Columbia
Vancouver, BC
- Full-time
Architect, build, test, and deliver complex software solutions using an AI-first development approach.
Added 50 mins ago
Z
Solution Integrations Architect - Oracle
Zip
Remote, Canada
- Full-time
- Remote
We’re looking for a Solution Integrations Architect to help build the technical foundation that powers Zip’s ERP and integration ecosystem. This role focuses on internal technical…
Added 1 hour ago
OC
Custom Full-House Cabinetry Designer
Oppein Cabinetry
Toronto, ON · Etobicoke, ON
- Full-time
Custom Cabinetry • Kitchens • Vanities • Closets • Full-House Solutions
Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…(i.e., cloud-based) and on-premise applications, modern ERP solutions, integrations, data management, and reporting platforms. This role reinforces the organization’s transition to modern…
Added 1 hour ago
PD
Senior Software Engineer - Backend
Parallel Domain
Vancouver, BC
- Full-time
Design and implement APIs and data models. You'll architect and implement RESTful API endpoints that cleanly separate data from business logic, are well-documented, and are built to the…
Added 1 hour ago
M
Lead IGA Solution Architect
McKesson
Mississauga, ON
- Full-time
Architect and implement enterprise Identity Governance & Administration solutions supporting workforce, contractor, and third-party identities.
Added 1 hour ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
…functional areas, leveraging advanced expertise to define software solutions, drive architectural consistency, and support system performance, safety, and reliability objectives. Working…
Added 1 hour ago
AI
Azure Solution Architect
Apptoza Inc.
Toronto, ON
- Contract
Seeking an experienced Azure Solution Architect to design and deliver secure, scalable enterprise cloud solutions across Azure and hybrid environments.
Added 1 hour ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
The Safety Engineering department is responsible for the safety of the products and project solutions developed and deployed by the Urban Rail Signaling business line and compliance to…
Added 1 hour ago
T
OpenText Exstream SME / CCM Solution Architect
TechDoQuest
Toronto, ON
- Full-time
Design, develop, enhance, and support enterprise CCM solutions using OpenText Exstream.
Added 1 hour ago
TC
ServiceNow ITSM Developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $120,000 CAD / year
- Full-time
4. Proven experience of delivering solutions using ServiceNow development best practices
Added 1 hour ago
PC
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
PwC Canada
Vancouver, BC
- Full-time
…provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short, we're a part of helping…
Added 2 hours 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 2 hours ago
IS
Data Architect (AWS)
Iris Software Inc.
Toronto, ON
- Contract
AWS certification (Solutions Architect or Data Analytics Specialty)

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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