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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
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
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
Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
At EY, we’re all in to shape your future with confidence.
Added 3 months ago
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Frontend/UI Developer
Larus
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 3 months ago
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Data Scientist
Larus
Ottawa, Ontario
- Full-time
…various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied…
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
…complex security challenges. We are passionate problem solvers with deep security…
Added 3 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
Experience with Python or other relevant programming languages and Machine Learning frameworks
Added 2 months ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
Expertise with industry-standard tools (FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk) and scripting languages (Tcl, Python, Perl).
Added 3 months ago
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Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 3 months ago
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Product Engineer - Dedicated Inference
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
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Software Engineer - Infrastructure
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA…
Added 3 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 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer to join our team with…
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
Familiarity with Python for machine learning and deep learning
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire an experienced ML Engineer/Data Scientist to…
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
…distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams,…
Added 3 months ago
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Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Research and development of Agentic AI Software for system optimization on edge devices, with measurable wins in latency, power, and quality.
Added 3 months ago
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Data Engineer
Thales
Ottawa, ON
- Full-time
Experience with scripting technologies such as Python, R
Added 3 months ago
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Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 CAD / year
- Full-time
…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…
Added 3 months ago
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Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 CAD / year
- Full-time
…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…
Added 4 months ago
K
Software Engineer II, AI
Klue
Toronto, Ontario
- $115,000 to $149,000 CAD / year
- Full-time
Expertise in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX.

EvenUp

Staff Machine Learning Engineer

Toronto, ON, Canada

$212,000 to $301,000 CAD / year · Full-time

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Job details

Pay: $212,000 to $301,000 CAD / year
Job type: Full-time
Experience: 7+ years of hands-on ML engineering experience, with multiple models shipped and running in production.
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.

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how machine learning powers Piai™, our proprietary claims-intelligence platform. This is a technical leadership role - you'll shape modeling strategy across a broad problem space, turning raw legal and medical data into production systems that improve outcomes for personal-injury clients.

You'll partner closely with Product, Research, and Engineering leaders to set strategy, and you'll be a technical anchor for the broader ML team - setting standards, mentoring senior engineers, and driving decisions that shape both product outcomes and company growth.

What You'll Do

Set technical strategy for a broad area of the ML roadmap, translating ambiguous business and research goals into scoped, production-ready systems.
Tackle the hardest modeling problems in the org - complex reasoning, long-context and multi-document understanding, or other frontier challenges as they come up.
Apply advanced ML techniques - fine-tuning, reinforcement learning, retrieval, or others - and know when a technique is the right tool versus over-engineering.
Establish rigorous evaluation standards, reducing hallucinations, improving factual consistency, and defining what "good" looks like for a given system.
Drive data excellence through hands-on analysis of training and evaluation data, managing noise, edge cases, and drift at scale.
Provide technical leadership and mentorship across the ML team, raising the bar for experimentation, benchmarking, and engineering rigor.
Act as the bridge between research and production - ensuring new techniques get integrated into shippable systems, not just proofs of concept.
Partner cross-functionally with product, engineering, and legal subject-matter experts to set technical direction.
Cost effectively scale practical machine learning systems in a hyper-growth environment, ensuring they remain grounded in real business and customer needs.

What You Bring

7+ years of hands-on ML engineering experience, with multiple models shipped and running in production.
Deep expertise in ML and NLP, including LLMs, with a track record of solving hard modeling problems - not just applying existing recipes.
High proficiency in Python and strong command of modern ML/NLP frameworks.
Demonstrated ability to set technical strategy and drive execution in ambiguous, fast-moving environments.
A track record of mentoring engineers and raising technical standards beyond your own output.
Experience partnering directly with Product and Engineering leadership, not just executing their asks.

Nice to Have

PhD in Machine Learning, Computer Science, or a related quantitative field.
Experience with document understanding, entity/relationship extraction, or structured extraction from unstructured text.
Experience with LLM fine-tuning techniques (LoRA, QLoRA, RLHF/RLVR) or advanced prompt engineering.
Experience in a high-growth startup environment.
Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs.

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: $212K - $301K

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More about this job

Responsibilities

Set the technical strategy for machine learning applications and tackle complex modeling problems. Provide technical leadership and mentorship while ensuring new techniques are integrated into production systems.

Requirements

Candidates should have 7+ years of hands-on machine learning engineering experience and deep expertise in ML and NLP. A PhD in a related field and experience in high-growth startups are preferred but not required.

Skills

Machine Learning
Natural Language Processing
Python
Modeling Strategy
Data Analysis
Technical Leadership
Mentorship
Evaluation Standards
Reinforcement Learning
Document Understanding
Entity Extraction
Prompt Engineering
LLM Fine-Tuning
Collaboration
Problem Solving

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
Natural Language Processing
Python
LLMs
Reinforcement Learning
Data Analysis
Modeling Strategy
Technical Leadership
Mentorship
Evaluation Standards
Document Understanding
Entity Extraction
Prompt Engineering
Fine-Tuning
Legal Technology
Claims-Intelligence
SaaS
Hyper-Growth
Collaboration
Product Development
Engineering Rigor

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