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Added 14 mins ago
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Motor Engineer
Intact Insurance UK
Halifax, NS
- Full-time
Added 44 mins ago
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Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
The Senior Software Engineer is a hands-on technical contributor embedded in our agile development organization, helping build and deliver our next-gen compliance platform. You bring the…
Added 44 mins ago
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Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Experience with unit testing, test-driven development, and frameworks such as pytest
Added 1 hour ago
SM
Instrumentation & Controls Engineer - Project Lead
Solaris Management Consultants Inc
Surrey, BC · Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Job Title: Instrumentation and Controls Engineer – Project Lead
Added 1 hour ago
SM
Civil Designer
Solaris Management Consultants Inc
Surrey, BC
- Full-time
…technical documentation for a variety of infrastructure and land development projects. You will play a key role in coordinating with multidisciplinary project teams to support the…
Added 1 hour ago
A
Lab Technician/Technologist
AtkinsRéalis
Saskatoon, SK
- Full-time
Make the most of diverse opportunities for training and professional development to grow your skills and expertise.
Added 1 hour ago
A
Lab Technician/Technologist
AtkinsRéalis
Saskatoon, SK
- Full-time
Make the most of diverse opportunities for training and professional development to grow your skills and expertise.
Added 1 hour ago
A
Senior Piping Stress Analyst Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Registered or eligible to be registered as a Professional Engineer in the Province of Ontario (mandatory requirement).
Added 1 hour ago
A
Piping Supports Design Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
AtkinsRéalis is currently seeking a Piping Supports Design Engineer to join our Candu Energy Inc. engineering team in Mississauga, Ontario.
Added 1 hour ago
A
Senior Piping Supports Design Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Registered or eligible to be registered as a Professional Engineer in the Province of Ontario (mandatory requirement).
Added 1 hour ago
A
Senior Piping Stress Analyst Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Registered or eligible to be registered as a Professional Engineer in the Province of Ontario (mandatory requirement).
Added 1 hour ago
A
Piping Stress Analyst Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
…be able to follow the direction of a qualified Professional Engineer to complete assigned mechanical engineering tasks and develop the necessary engineering design…
Added 1 hour ago
A
Piping Stress Analyst Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
…be able to follow the direction of a qualified Professional Engineer to complete assigned mechanical engineering tasks and develop the necessary engineering design…
Added 1 hour ago
A
Senior Piping Supports Design Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Registered or eligible to be registered as a Professional Engineer in the Province of Ontario (mandatory requirement).
Added 1 hour ago
A
Piping Supports Design Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
AtkinsRéalis is currently seeking a Piping Supports Design Engineer to join our Candu Energy Inc. engineering team in Mississauga, Ontario.
Added 1 hour ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 1 hour ago
AS
Electrical Consultant
Aker Solutions
St. John's, NL
- Full-time
Support opportunity identification, pursuit, and tender development including estimating workscopes and providing input to project estimates.
Added 1 hour ago
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Construction administrator
BPA
Halifax, NS
- Full-time
We are seeking a skilled and detail-oriented Construction Administrator / Field Engineer to support the delivery of electro-mechanical building systems projects. This role is ideal for a…
Added 1 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 1 hour ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 1 hour ago
S
Enterprise Account Executive
STA
Canada
- Full-time
…experience to the customer rather than relying on a dedicated Sales Engineer for every…
Added 1 hour 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.
Added 1 hour ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to provide hands-on technical leadership across CX and contact center solutions. You will shape scalable solutions using Java, Spring Boot,…
Added 1 hour ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 1 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…

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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