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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
Create and enhance automation scripts (PowerShell, Python, etc.) to improve efficiency.
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Strong programming skills in Python and hands-on experience with PyTorch.
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 2 months ago
Q
DSP Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
Strong proficiency in MATLAB, Python, and C/C++; embedded firmware experience strongly desired.
Added 3 months ago
A
Lab Operations - Member of Technical Staff
Aptiv
Ottawa, ON
- Full-time
Write simple scripts in Python, Bash, or Expect for automation and debugging tasks.
Added 3 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Prior working experience in retail, manufacturing or distribution environments, and with systems including Microsoft D365, Anaplan, Python, R, Alteryx, or KNIME are considered strong assets
Added 3 months ago
CT
Product Verification Technologist II
COMTECH TELECOMMUNICATIONS
Gatineau, QC
- Full-time
Understanding of scripting in one or more mainstream scripting languages (JAVA, Python) would be beneficial.
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Proficiency in a software programming languages, e.g., Python
Added 3 months ago
C
Software Developer (hybrid Montreal)
Calliere
Montreal, QC · Old Montreal, Quebec
- Full-time
Strong, hands-on knowledge of Python or C++ (experience with both is an asset).
Added 3 months ago
MT
Ingénieur principal en analogique/ Principal Engineer - Analog Design
Microchip Technology Inc.
Montreal, QC · Canada - Montreal
- Full-time
Expérience pratique en scripting et en automatisation à l’aide des langages Skill, Python, Perl et Tcl
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript
Added 3 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
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
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
Strong command of at least one modern backend language (Node.js/TypeScript, Python, Go, or similar)
Added 3 months ago
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
BC
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
- Full-time
Added 3 months ago
TR
Manager, Software Development Engineering
Thomson Reuters
Toronto, Ontario
- Full-time
…engineering accountability point for tool quality, reliability, and developer…
Added 3 months ago
H
Hardware Verification Specialist
Hexagon
Calgary, AB
- Full-time
Experience writing automated test scripts using Python or similar programming languages.
Added 2 months ago
Software Developer - DevOps
DRW
Montreal, QC
We are looking for a passionate Software Developer to join our infrastructure team. This software-focused role involves building the services, platforms and automation that support our…
Added 3 months ago
MT
Principal Engineer - Analog Design
Microchip Technology Inc.
Toronto, ON · Ottawa, ON
- Full-time
Hands-on experience in scripting and automation using skill language, python, Perl and tcl
Added 3 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
Strong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer tooling.

Lyft

Machine Learning Engineer, Safety and Customer Care AI

Toronto, ON, Canada

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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.

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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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