Jobs in Canada

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Added 3 months ago
AA
Staff Software Developer, Capital
ACV Auctions
Toronto, Ontario
- Full-time
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 3 months ago
FH
Senior Software Engineer - Fullstack
Function Health
Canada
- Full-time
Must have a problem-solving mindset, excellent communication skills, and the ability to clearly articulate technical concepts
Added 3 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Proficiency in Python for backend development, including FastAPI async patterns, and Pydantic-based data validation.
Added 3 months ago
PI
Backend Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Job Title: Backend Engineer Python (API & Platform Engineering)
Added 3 months ago
PI
Data Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
We are building a modern data platform centered on Snowflake and are seeking a Snowflake-focused Data Engineer to design, build, and operationalize Snowflake-native solutions. This role…
Added 3 months ago
R
Python Automation Developer, Network Security
RAVL
Toronto, Ontario
- Full-time
We're looking for a Senior Full Stack Developer to join our team on a short-term contract engagement. In this role, you'll build automation solutions that improve operational efficiency,…
Added 3 months ago
MS
Full Stack – Java Application Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our Credit Valuation Adjustment (CVA) Technology team as an Full Stack – Java Application Developer to drive the design and delivery of next-generation risk…
Added 3 months ago
CF
Director, Business Analytics and Insights
CI Financial
Toronto, ON
- Full-time
D&A and AI Transformation: Drive the adoption of analytics, automation, and AI-enabled tools that enhance data accessibility, visualization, reporting, and decision support. Work closely…
Added 3 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
…stakeholders across a wide range of functions to implement and solve data engineering challenges? Are you equally skilled at delivering simple solutions to complex problems and consistently…
Added 2 months ago
R&D Carbon Product Development Scientist
RAINCARBON
Hamilton, ON
…focusing on the carbon precursor selection, carbon structure engineering, and graphitization to deliver high-performance, scalable, and sustainable carbon-based Battery Anode Materials BAM…
Added 3 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
Collaborate effectively with Product, Data Science, Client Success and Engineering teams
Added 2 months ago
Senior Full-Stack Developer (Python/React) - Onboarding Team
AlayaCare
Montreal, QC
We are seeking a Senior Developer to join one of our product team. Reporting to the Associate Director of Engineering, the team is dedicated to product development and the ongoing…
Added 3 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Administer and support SimCorp Data Management and Cloud SaaS environments for internal and external clients.
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an es
Added 3 months ago
FC
Quality Assurance Analyst, Investly
Fidelity Canada
Toronto, ON
- Full-time
Working experience in JS, Java, Python or other modern programming language
Added 3 months ago
Q
DSP Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
Engineering Group, Engineering Group > Systems Engineering
Added 3 months ago
A
Lab Operations - Member of Technical Staff
Aptiv
Ottawa, ON
- Full-time
…recent 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with…
Added 3 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Partner with the Data/Data Engineering team to co-develop scalable BI pipelines and dashboard solutions, ensuring alignment between data architecture and reporting needs
Added 3 months ago
C
Software Developer (hybrid Montreal)
Calliere
Montreal, QC · Old Montreal, Quebec
- Full-time
…sophisticated technology with exceptional people to build and operate data-intensive financial platforms. We prize autonomy and the ability to move quickly when an opportunity appears, and…
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
…generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems…
Added 3 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Partner with Data, security, risk, legal, and engineering teams to embed AI-driven resiliency, observability, bias detection, and threat modeling into architecture and governance standards
Added 3 months ago
S
Business Systems Developer
Stingray
Montreal, Quebec
- Full-time
We are currently looking for a Business Systems Developer to join our digital transformation team. This position reports to the Head of Digital Transformation .
Added 3 months ago
CR
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, Ontario
- Internship
If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems, learn more about CRA!
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
Define and enforce security, data handling, and access control standards as tools expand to client environments

Lyft

Machine Learning Engineer, Safety and Customer Care AI

Toronto, ON, Canada

Apply on app.careerpuck.com About employer

Applications open in a new tab.

Job details

Experience: 3+ years of industry experience in applied ML/AI, inclusive of an MS or PhD in Computer Science, Machine Learning, Artificial Intelligence or a related technical field.
Posting language: English
Posted: Sep 4, 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.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.

Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems.

As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting.

Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR).
Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks.
Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb.
Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models.

Responsibilities:

Conduct literature review and build post-training framework and lifecycle. Curate and process human and synthetic data for SFT/LoRA/RLHF/RLAIF/RLVR, and iterate on model quality for real support and safety tasks.
Develop, evaluate, and productionize AI agents, designing tools, state, and control flow in LangGraph (or equivalent) and taking them through the full agent development lifecycle.
Build and scale evaluation frameworks, golden sets, rubric-based grading, LLM-as-judge where appropriate, and regression testing.
Ship models and agents into real-time production, with the monitoring and guardrails needed to operate them safely at millions of interactions a month.
Apply traditional ML (classification, ranking, gradient-boosted trees) where it's the right tool, and partner with product, ops, and data science to scope problems and define success metrics.

Experience:

3+ years of industry experience in applied ML/AI, inclusive of an MS or PhD in Computer Science, Machine Learning, Artificial Intelligence or a related technical field.
Post-training experience with open-source models. Hands-on familiarity with fine-tuning and preference-tuning paradigms such as SFT, LoRA, RLHF, RLAIF, and RLVR.
Agentic development experience. Built and shipped agents with LangGraph or equivalent frameworks, and comfort with the full agent development lifecycle.
Experience with AI/LLM evaluation. Designed metrics and built offline/online evaluation for generative systems.
Experience deploying ML/AI applications to real-time production use cases.
Strong programming skills in Python and hands-on experience with PyTorch.
Preferred:
- Experience applying ML/AI to customer support or trust & safety workflows - agent assist, routing, resolution recommendation, or abuse/safety detection.
- PhD in Computer Science, Machine Learning, Statistics, or a related technical field.
- Publications at top-tier peer-reviewed research venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR).

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 CAD $118,800 - CAD $148,500, 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 on app.careerpuck.com About employer

More about this job

Responsibilities

The ML Software Engineer will post-train and align open-source LLMs and build agentic AI systems to support safety and customer care workflows. They will also own the evaluation data flywheel and productionize models with necessary guardrails for high-stakes interactions.

Requirements

Candidates must have 3+ years of industry experience in applied ML/AI, including hands-on experience with fine-tuning, preference-tuning, and agentic development. A degree in Computer Science or a related technical field is required, with a preference for advanced degrees and research publications.

Skills

Machine Learning
Python
PyTorch
LLM
Agentic AI
Fine-tuning
RLHF
LoRA
LangGraph
Evaluation frameworks
Data flywheel
Safety case management
Model alignment
Synthetic data
Regression testing
Gradient-boosted trees

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
LLM
Python
PyTorch
SFT
LoRA
RLHF
RLAIF
RLVR
LangGraph
Agentic AI
Data Flywheel
Safety Case Management
Evaluation Frameworks
Gradient-boosted Trees
Classification
Ranking
Productionization
Model Alignment
Synthetic Data
Regression Testing
Trust & Safety
Customer Support
Software Engineering

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Work requirements

Jobs in Canada