Jobs in Canada

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Added 7 days ago
R
Founding Engineer, Build and Deployment
Rainharbor
Toronto, ON
- Full-time
…where a wrong answer is a broken commitment. You will be the engineer who makes sure it deserves that trust: helping shape the first release as it is built, proving it against its promises,…
Added 7 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.
Added 7 days ago
Q
ASICS Design Verification Engineer (Vancouver, Markham OR Remote)
Qualcomm
Remote, Canada
- Full-time
- Remote
Master’s degree in Computer Science, Electrical Engineer, Computer Engineering, or a closely related field
Added 7 days ago
Q
Engineer
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or…
Added 7 days ago
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Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer, you will contribute to software and platform capabilities that support data connectivity and transformation. You will work alongside engineers, product managers, and…
Added 7 days ago
Q
FY27 Intern - Digital Design Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
As a Digital Design Engineer Intern, you’ll join a collaborative design team and contribute to the development of connectivity products. With guidance from experienced engineers, you’ll…
Added 7 days ago
TR
Forward Deployed Engineer (Internal tools)
Trexo Robotics
Mississauga, ON
- $100,000 to $140,000 CAD / year
- Full-time
This is a newly created hybrid position (3 days per week on-site in Mississauga)
Added 7 days ago
KG
Production / Application Support Engineer (Level 3/4)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
Position: Production / Application Support Engineer (Level 3/4)
Added 7 days ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this…
Added 7 days ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data…
Added 7 days ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.
Added 7 days ago
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AI Engineer (Agentic Systems)
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer (Agentic Systems) based in Canada.
Added 7 days ago
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Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 7 days ago
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Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 7 days ago
TR
Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Thomson Reuters is looking for a Software Engineer with an appetite to learn AI-code generation skills within our Editorial Tools & Services team.
Added 7 days ago
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Senior IT Systems Eng
Cognichip
Toronto, ON
- $150,000 to $185,000 CAD / year
- Full-time
We are hiring a Senior IT Systems Engineer to run and scale the systems that keep our team productive and secure across our Toronto and Redwood City offices and our remote staff. You will…
Added 7 days ago
C
Staff Program Manager, Marketing Enablement
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…Make, or similar) is table stakes. Reading and writing code (Python, JavaScript) lets you ship a workflow or integration yourself is a huge…
Added 7 days ago
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Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 7 days ago
AI/ML Engineer
Conviva
Toronto, ON
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on…
Added 7 days ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 7 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 7 days ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 7 days ago
JG
Azure Data Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Azure Data Engineer to design, develop, and support scalable data ingestion and processing solutions on the Microsoft Azure platform. The candidate will be…
Added 7 days ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 7 days ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
Students must have a graduation date between December 2027 and June 2028

Conviva

AI/ML Engineer

Toronto, ON, Canada

Apply on job-boards.greenhouse.io About employer

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.

We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration.

We are looking for someone who goes beyond implementing existing approaches - someone who can understand a problem deeply, evaluate alternative solutions, make informed technical decisions, and systematically investigate why a model succeeds or fails.

You will collaborate closely with engineering and product teams to explore new ML approaches, develop effective models, and build the tools and infrastructure needed to support scalable experimentation and deployment. We welcome candidates from both academic research and industry backgrounds, including recent PhD graduates with strong hands-on research experience and engineers who have demonstrated exceptional model development capabilities in industry.

What Success Will Look Like:

Design, develop, train, and evaluate machine learning models to solve complex real-world problems.
Own the end-to-end ML development lifecycle, including dataset construction, model design, training, experimentation, evaluation, and continuous improvement.
Explore and apply modern ML techniques, including deep learning, reinforcement learning, and LLM training or fine-tuning, as appropriate to the problem.
Design rigorous experiments, define meaningful evaluation metrics, establish baselines, and analyze model performance to guide technical decisions.
Translate research ideas into practical solutions through close collaboration with engineering and product teams.
Contribute to ML tooling, data pipelines, and infrastructure that support efficient experimentation and scalable model development.
Take ownership of technical challenges, proactively investigate new approaches, and continuously improve model quality and reliability.
Collaborate effectively in a small, highly technical team, sharing knowledge and contributing to engineering best practices.

Who You Are & What You've Done

PhD preferred in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field. Recent PhD graduates with strong research experience are encouraged to apply.
Strong foundation in machine learning, deep learning, probability, statistics, algorithms, and data structures.
Hands-on experience developing and training ML models through academic research or industry projects.
Experience with ML frameworks such as PyTorch or TensorFlow.
Solid understanding of the ML development lifecycle, including data preparation, model training, experimental design, evaluation methodology, and error analysis.
Strong programming skills in Python, C++, or another relevant programming language.
Ability to independently investigate complex technical problems, design experiments, and communicate findings clearly.
Strong problem-solving skills, intellectual curiosity, and a willingness to explore new techniques.
Good English communication skills.

Nice to Have

Research publications at leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or other relevant venues.
Experience with reinforcement learning, deep learning, LLM fine-tuning, pre-training, or post-training techniques.
Experience with large-scale model training, distributed training, or ML systems optimization.
Experience deploying ML models into production or developing ML infrastructure, including model serving, monitoring, and MLOps.
Familiarity with large-scale data processing frameworks such as Spark or Flink.

The expected salary range for this full-time position is $180,000–$250,000 + equity + benefits. Actual level and compensation are determined by qualifications, professional background, and relevant experience.

Learn more at conviva.ai and follow the company on LinkedIn and YouTube.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

You will design, develop, and train machine learning models to solve complex real-world problems while owning the end-to-end ML development lifecycle. Additionally, you will collaborate with engineering and product teams to translate research ideas into practical, scalable solutions.

Requirements

Candidates should possess a strong foundation in machine learning, deep learning, and statistics, with hands-on experience in model development and evaluation. A PhD in a quantitative field is preferred, along with proficiency in Python or C++ and experience with frameworks like PyTorch or TensorFlow.

Skills

Machine Learning
Deep Learning
Python
C++
PyTorch
TensorFlow
Reinforcement Learning
LLM Training
Data Structures
Algorithms
Statistics
Probability
Experimental Design
Model Evaluation
Data Pipelines
MLOps

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Deep Learning
Reinforcement Learning
LLM
PyTorch
TensorFlow
Python
C++
Data Structures
Algorithms
Statistics
Probability
MLOps
Spark
Flink
Model Development
Experimental Design
Data Pipelines
Analytics
Research
Distributed Training
Model Serving
Monitoring
Computer Science
Mathematics
Engineering
Product Development
Scalability
Infrastructure

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Jobs in Canada