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Added 1 min ago
VA
Chief Systems Engineer
Volatus Aerospace
Mirabel, QC
- Full-time
Volatus Aerospace is a global leader in aerial intelligence and drone solutions, bringing together over 100 years of combined aviation expertise. We specialize in delivering innovative,…
Added 1 min ago
VA
SITL Simulation Engineer
Volatus Aerospace
Vaughan, ON
- Full-time
Volatus Aerospace is a global leader in aerial intelligence and drone solutions, bringing together over 100 years of combined aviation expertise. We specialize in delivering innovative,…
Added 15 mins ago
W
Senior Electrical Engineer - Mission Critical & Data Centers
WSP
Toronto, ON
- Full-time
…digital infrastructure across Canada. As a Senior Electrical Engineer, you will provide technical leadership on some of the most complex and innovative data center projects in the industry,…
Added 31 mins ago
Waste Management Engineering Graduate
GHD Group Pty Ltd
Waterloo, ON
GHD is seeking a Waste Management Graduate Engineer to join one of our fastest growing Canadian Operations in Waterloo, Mississauga, Toronto, or Ottawa, Ontario. This position is a…
Added 31 mins ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 31 mins ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Vancouver
EY
Vancouver, BC
We're looking for someone who is not necessarily a traditional developer, data scientist, or AI engineer. We're looking for an innovator, coach, and problem solver who can quickly…
Added 45 mins ago
P
Software Engineer, AI
Pebl
Remote, Canada
- $109,200 to $140,000 CAD / year
- Full-time
- Remote
…you, not just for you. We're looking for a Junior Software Engineer to join the team and grow into a core contributor on the systems that power…
Added 59 mins ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
The Front Office Quant Engineer will serve as a force multiplier for the trading and sales desks, leveraging technology, automation, quantitative analysis, and AI-driven solutions to enable…
Added 59 mins ago
PL
Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
- Contract
Job Title: Infrastructure Engineer – Network, Security & IoT/OT
Added 1 hour ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
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…
Added 1 hour ago
AI Engineer
Capco
Toronto, ON
As an AI Engineer, you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset,…
Added 1 hour ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 1 hour ago
R
Architecte de données / Data Architect
RTX
Longueuil, QC
- Full-time
Vous travaillerez avec des experts en données, en intelligence artificielle et en ingénierie afin de concevoir des architectures évolutives et des solutions innovantes répondant à des défis…
Added 1 hour ago
GM
2027 Winter Co-op Vehicle Experience Software Developer
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 2 hours ago
OP
Civil, Plant Engineer
Ontario Power Generation
Timmins, ON
- Full-time
Whether you work in the skilled trades or are a business professional, a career at OPG is an opportunity to electrify your life on -- and off -- the job.
Added 2 hours ago
VT
Amazon Quicksight and Tableau Engineer
Viva Tech Solutions
Toronto, ON
- Contract
Added 2 hours ago
Senior Data Scientist I
Bell
Toronto, ON
Data Storytelling & Visualization: Transforming complex analytical results into compelling narratives and clear visualizations that drive business decisions.
Added 2 hours ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 2 hours ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 3 hours ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI…
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure…
Added 5 hours ago
G
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
- Full-time
…system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software…
Added 7 hours ago
A
Highway Design Engineer, P.Eng.
AECOM
North Bay, ON
- $75,000 to $125,000 CAD / year
- Full-time
AECOM North Bay is looking for a Highway Design Engineer to add to its growing team. This position is for a newly created position.
Added 7 hours ago
PT
Software Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
…and every line of code you write moves a real number on the…
Added 9 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.

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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