Jobs in Canada

Group jobs by employerSave search & get alerts

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 4 months ago
MI
MultiX Innovations - CTO / Technical Co-Founder
MultiX Innovations
Remote, Canada
- Full-time
- Remote
Solid full stack development experience - React or React Native front end, Node.js or Python back end
Added 4 months ago
L
Lead .Net Azure Developer - Toronto, ON (Hybrid)
LTM
Ontario · Ontario, Canada
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a highly skilled Full Stack Engineer with strong expertise in NET Core Angular Azure Cloud and Azure DevOps.
Added 4 months ago
PU
Staff Software Engineer
Purpose Unlimited
Canada
- Full-time
Full-stack depth - you move between frontend, backend, and infrastructure when the problem demands it.
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
We are looking for a senior or lead-level data scientist to own meaningful parts of our sports modeling stack.
Added 4 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
T
Sr. Data Platform Engineer
tripstack
Toronto, Ontario
- Full-time
Tripstack is moving its entire data stack from bare-metal VMs to Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful…
Added 4 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
O
Senior Quality Assurance (QA) Engineer
Oncoustics
Toronto, Ontario
- Full-time
Experience with full stack system QA - spanning mobile, backend, and cloud
Added 4 months ago
KH
Full Stack Developer
Kinro Health
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
We're looking for a Full Stack Developer to become a key part of our dev team. In this role, you’ll manage Laravel backend features, enhance the React frontend, and optimize Redis queues…
Added 4 months ago
H
Senior Software Engineer
Hiive
Remote, Canada
- $150,000 to $275,000 CAD / year
- Full-time
- Remote
As a Senior Full Stack Engineer, you will be a hands-on contributor to the frontend and backend apps powering our platform. You will learn Elixir on the job from your colleagues and…
Added 2 months ago
Mission Engineer - Vancouver, British Columbia
Axon
BC
In this embedded role, you are the primary owner of customer outcomes within a strategic account - accountable for the full lifecycle of Axon's ecosystem. You combine deep technical…
Added 4 months ago
B
Software Engineer
Broadsign
Montreal, Quebec
- Full-time
…compelling campaigns seen across the world. Come join us as a Full-Stack Software Developer in…
Added 4 months ago
E
Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 CAD / year
- Full-time
We're looking for a Senior Machine Learning Engineer to help build the models and systems powering Piai™, our proprietary claims-intelligence platform. You'll work across the ML stack -…
Added 4 months ago
F
Senior Software Engineer - Applied AI
Feathery
Toronto, Ontario
- $90,000 to $140,000 CAD / year
- Full-time
To keep pace with that ambition, we're looking for a Full Stack Engineer to join the AI team and own these capabilities end-to-end.
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Clutch is seeking a Software Engineer (Full-Stack / Backend / Frontend) to help build and scale our technology platform. You will write clean, reliable code, design scalable architectures,…
Added 4 months ago
C
Staff Software Engineer
Clutch
Toronto, Ontario
- $205,000 CAD / year
- Full-time
Full TypeScript stack for front- and back-end, with some legacy JavaScript
Added 4 months ago
K
Software Engineer II, AI
Klue
Toronto, Ontario
- $115,000 to $149,000 CAD / year
- Full-time
We're looking for a Software Engineer, AI to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate workflows…
Added 4 months ago
S
Senior Software Engineer, Notebooks
Snowflake
Ontario · Ontario, Canada
- Full-time
Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend.
Added 3 months ago
GS
Software Engineer (Python) - PricingCenter
Guidewire Software
Toronto, ON · Mississauga, ON
- Full-time
Experience with full-stack development with Typescript and React is a plus.
Added 4 months ago
T
Founding Product Engineer
truvara
Toronto, Ontario
- $150,000 to $200,000 CAD / year
- Full-time
We are building the future of insurance. We’re building Canada’s first full-stack AI insurance carrier purpose built for the next generation. Customers receive a frictionless process with…
Added 4 months ago
M
Senior Software Engineer
Magical
Toronto, Ontario
- Full-time
Design and build backend and full-stack systems for AI agents and healthcare automations
Added 4 months ago
I
Staff Software Developer, Full Stack
Intuit
Toronto, Ontario
- Full-time
Intuit has embraced a hybrid working model and this role will be based out of our Toronto office 3 days per week
Added 4 months ago
B
Staff Software Engineer, Banking
Brex
Vancouver, British Columbia
- $240,000 to $285,000 CAD / year
- Full-time
We currently require a 3 days per week in the office - Monday, Wednesday and Thursday
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Clutch is seeking a Software Engineer (Full-Stack / Backend / Frontend) to help build and scale our technology platform. You will write clean, reliable code, design scalable architectures,…

EvenUp

Senior Machine Learning Engineer

Toronto, ON, Canada

$196,000 to $265,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $196,000 to $265,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Jul 8, 2026

Original job description

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

Senior Machine Learning Engineer

At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation.

We're looking for a Senior Machine Learning Engineer to help build the models and systems powering Piai™, our proprietary claims-intelligence platform. You'll work across the ML stack - from data pipelines to production model deployment - alongside ML engineers, data scientists, and legal subject-matter experts to turn raw legal and medical data into systems that directly improve outcomes for personal-injury clients.

What You'll Do

Design, build, and own production ML systems across the full lifecycle - problem framing, data strategy, training, evaluation, deployment, and monitoring.
Architect scalable data pipelines that handle structured, unstructured, and embeddings-based data for training and inference.
Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking.
Partner with data scientists and product managers to translate ambiguous business problems into concrete ML system designs.
Apply and productionize state-of-the-art techniques across NLP, information retrieval, and generative AI where the problem calls for it.
Define and implement evaluation strategies - quality metrics, human-in-the-loop review, automated benchmarks - to ensure model reliability.
Drive scalability and efficiency across ML workflows, from large-scale data processing to real-time inference.
Work with ML platform engineers to integrate models and frameworks into production environments.
Document system architectures and establish best practices that other engineers build on.
Mentor other engineers and contribute technical judgment to hiring and calibration as the team grows.

What You Bring

5+ years building and deploying machine learning systems in production.
Strong software engineering fundamentals - Python, distributed systems, API design.
Experience owning the full ML lifecycle, not just model training in isolation.
A track record of turning ambiguous problems into scoped, shippable solutions.
Experience mentoring other engineers and influencing technical direction beyond your own code.
Ability to work hybrid (3 days your choice) in our San Francisco or Toronto Canada office.

Nice to Have

Experience with NLP, LLMs, or generative AI - embeddings, fine-tuning (LoRA or other PEFT), or prompt engineering.
Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch) or orchestration frameworks (LangChain, LlamaIndex).
Experience with evaluation methodologies for generative AI - RAG benchmarks, hallucination reduction, factual grounding.
Experience in a high-growth startup environment.
Background in legal tech, healthcare, or other high-stakes, regulated domains.

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

Choice of medical, dental, and vision insurance plans for you and your family.
Additional insurance coverage options for life, accident, or critical illness.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
A home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
A local in-person meet-up program.
Hubs in San Francisco and Toronto.

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Compensation Range: $196K - $265K

Apply on LinkedIn About employer

More about this job

Responsibilities

The Senior Machine Learning Engineer will design, build, and own production ML systems across the full lifecycle, including problem framing, data strategy, training, evaluation, deployment, and monitoring. They will also architect scalable data pipelines and partner with data scientists and product managers to translate business problems into ML system designs.

Requirements

Candidates should have 5+ years of experience building and deploying machine learning systems in production, with strong software engineering fundamentals. They should also have a track record of turning ambiguous problems into scoped solutions and experience mentoring other engineers.

Skills

Machine Learning
Data Pipelines
Model Development
NLP
Information Retrieval
Generative AI
Python
Distributed Systems
API Design
Model Evaluation
Data Strategy
Mentoring
Scalability
Real-Time Inference
Documentation
Benchmarking

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Accident Insurance
Critical Illness Insurance
Flexible Paid Time Off
Sick Leave
Short-Term Disability
Long-Term Disability
Paid Parental Leave
Home Office Stipend
401(k)
RRSP

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Pipelines
Model Development
NLP
Information Retrieval
Generative AI
Python
Distributed Systems
API Design
Model Evaluation
Data Strategy
Mentoring
Scalability
Real-Time Inference
Documentation
Benchmarking
Legal Tech
Healthcare
High-Stakes Domains
Fraud Detection
Claims Intelligence
AI
SaaS
Data Processing
Evaluation Methodologies
Embedding
Fine-Tuning
Prompt Engineering
Vector Databases
Orchestration Frameworks

Report this job

Work requirements

Jobs in Canada