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Added 3 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
…Full stack development is second nature to you: you design Python backends, build Angular frontends, and understand exactly where the boundaries should be and why they matter. When…
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…
Added 3 months ago
Q
Senior ASIC Implementation Engineer, Low Power AI
Qualcomm
Markham, ON
- Full-time
We are looking for an ASIC Implementation Engineer to be part of our team to innovate and design complex leading, ultra-low power, solutions for audio and context aware applications. We are…
Added 3 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
We're looking for an experienced Full Stack Engineer to ship product at the highest level. You'll own features end-to-end - design, build, test, deploy, and operate them in production. This…
Added 2 months ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
A physical design or CAD methodology engineer who has built flows that production teams depend on daily.
Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Added 3 months ago
T
Sr. Data Platform Engineer
tripstack
Toronto, Ontario
- Full-time
…new data centre. We are looking for a senior infrastructure engineer who has done stateful migrations before, who can plan, codify, and execute this one safely, and who will own the…
Added 3 months ago
B
Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 3 months ago
B
Product Engineer - Dedicated Inference
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
As a Product Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs…
Added 3 months ago
B
Software Engineer - Infrastructure
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 3 months ago
B
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
Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
Added 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
Director/ Senior Machine Learning Engineer in Medical Imaging
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
…pharmaceutical players. We are looking to hire a Senior DevOps Engineer to join our team and improve our ML development pipeline and processes. A successful candidate may either be an…
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…pharmaceutical players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate…
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role…
Added 3 months ago
HT
Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Huawei Canada has an immediate 12-month contract opening for an Embedded Engineer.
Added 3 months ago
T
Data Engineer
Thales
Ottawa, ON
- Full-time
Thales is looking for a Data Engineer who will be involved in the data engineering activities in support of projects that contribute to naval platforms in-service support programs.
Added 3 months ago
EB
Senior AI Platform Operations Engineer
EQ Bank
Toronto, Ontario
- Full-time
The Senior AI Platform Operations Engineer is accountable for the reliability, operability, and controlled enablement of the organization’s AI platform.
Added 3 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 -…

EvenUp

Senior Machine Learning Engineer

Toronto, ON, Canada

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

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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

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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

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