Jobs in Canada

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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
Q
DSP Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
We're looking for a Staff DSP Systems Engineer who brings strong technical fundamentals, a methodical approach to problem solving, and a genuine passion for high-speed signal processing.…
Added 2 months ago
Data Engineer
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
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
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Hybrid/Toronto
Fulfil
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python Backend) in Toronto to become a key technical partner for our North American customers, our India-based engineering team, and our Product…
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Remote/Canada
Fulfil
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python) for a Remote role (Canada) Toronto to become a key technical partner for our North American customers, our India-based engineering team,…
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
…and government entities. We combine deep technical expertise with a forward-thinking culture - and we're looking for someone to take the next steps of AI integration into accounting with…
Added 3 months ago
BC
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 3 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
In this role, you will embed with client and internal teams to understand complex business problems, rapidly design solutions, and deploy production-quality software in real-world…
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more scripting language (e.g., Python, KornShell)
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
To qualify for the role, you must have
Added 3 months ago
C
Sr. AI Engineer – Agentic Systems
Chubb
Toronto, ON
- Full-time
Deep expertise in production Python, with strong working knowledge of current agent frameworks and protocols (Claude Agent SDK, deepagents, LangGraph, MCP, or equivalents)
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
To qualify for the role you must have
Added 3 months ago
L
Digital Architect
Lightmatter
Toronto, Ontario
- Full-time
Lightmatter is (re)inventing the future of computing with light!
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
Location: Hybrid 2 days per week onsite on one of our following sites:
Added 4 months ago
A
AI Engineer
ApiceFlow
Remote, Canada
- Full-time
- Remote
At ApiceFlow, we create intelligent software that brings AI into real business operations. We're looking for an AI Engineer who enjoys turning cutting-edge AI technologies into scalable,…
Added 4 months ago
KS
Data Scientist / Senior Data Scientist - Sports Modeling & Live Betting
Kero Sports
Remote, Canada
- $100,000 to $160,000 USD / year
- Full-time
- Remote
Strong Python experience, especially with pandas, NumPy, scikit-learn, XGBoost, or similar tools.
Added 4 months ago
SI
St Staff R&D Engineer
Synopsys Inc
Waterloo, Ontario
- Full-time
Solid experience with Python for scripting, automation, and backend services
Added 2 months ago
Sr. Software Engineer (Hardware)
Dialpad
Vancouver, BC
As a Software Engineer, you’ll be responsible for developing and maintaining features to enhance customers’ day-to-day communication experience. You’ll work closely with customers and…
Added 3 months ago
J
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 3 months ago
AM
SoC DFX Scan / ATPG Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
You are a motivated engineer with a strong understanding of DFT fundamentals and ASIC design flows. You enjoy solving complex technical challenges, applying strong analytical and debugging…
Added 3 months ago
Q
Engineer
Qualcomm
Markham, ON
- Full-time
QCT's DSP Physical Design Team is seeking motivated and talented Physical Design Engineer to join our growing team in Markham, Canada. In this role, you will contribute to the…

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