Jobs in Canada

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Added 10 days ago
FG
Service Account Manager
Flynn Group of Companies
Brandon, MB
- Full-time
Proficiency with Microsoft Office and other business software
Added 10 days ago
C
Consultant, Application Development (Payments)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 10 days ago
H
CLOUD AMAZE - Technical Lead - JAVA (Practice)
HEXAWARE
Canada
- Full-time
…developers, testers, and stakeholders to deliver high-quality software. Participate in code reviews and provide constructive feedback. Mentor junior developers and share knowledge. Stay…
Added 10 days ago
BP
Quality Technician l - Mechanical
Bruce Power
Bruce Power
- Full-time
Operate software, tools, machinery and apparatus to perform assigned duties.
Added 10 days ago
B
Sourcing Manager, Marketing Category
BMO
Toronto, ON · YNG
- Full-time
Added 10 days ago
A
Member of Technical Staff - RTOS & Virtualization
Aptiv
Ottawa, ON
- Full-time
Participate in all aspects of the software development process using Agile development.
Added 10 days ago
C
Systems Engineer, Sr
Company3
Toronto, ON
- Full-time
The Senior Systems Architect will collaborate closely with Global Engineering, Software Development, Information Security, Production Operations, and local studio leadership at Company 3…
Added 10 days ago
JC
Payments Implementation Specialist - Canada
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Jonas Club Software is an industry leading club-first management platform built exclusively for private and member-driven clubs and designed to be the single source of club truth. Used by…
Added 10 days ago
M
Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Design, develop, test, deliver, maintain and continuously improve business applications across the full technology stack and throughout the software development lifecycle.
Added 10 days ago
Freelancer.Multibrand - Ott
ELC Beauty LLC
Ottawa, ON
⁃ Previous experience with retail point⁃of⁃sale software
Added 10 days ago
K
Business Development Representative
Klipboard
Oakville, ON
- Full-time
Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade – wherever they are…
Added 10 days ago
IT Services Technician, Managed Desktops
University of Guelph
Guelph, ON
…desktops, laptops, and related technologies; resolving hardware and software issues; supporting the ordering and set up of new computers and related equipment; providing guidance to clients…
Added 10 days ago
Analyste des systèmes opérationnels
CityofOttawa
Ottawa, ON
Added 10 days ago
Business Systems Analyst, Telecom
CityofOttawa
Ottawa, ON
Information systems development processes and practices, software lifecycle
Added 10 days ago
Machine Builder Solution Manager
Siemens
Canada
…flexibility and become future-ready through technologies such as software-defined systems and artificial intelligence. Siemens Xcelerator - the open digital business platform - helps to…
Added 10 days ago
Technical Advisor, Application Development
National Research Council Canada
Ottawa, ON
Added 10 days ago
MG
Electrical Engineer
MHB Group Canada
Toronto, ON · Greater Toronto and Hamilton Area, ON
- $130,000 to $150,000 CAD / year
- Full-time
Must hold an active Ontario P.Eng
Added 10 days ago
FK
Production Technician
Fresenius Kabi Canada
Mississauga, ON
- Full-time
Must have the ability to work all shifts (i.e., morning and evening shifts, weekends, and statutory holidays) with an excellent attendance record
Added 10 days ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
Added 10 days ago
SC
Render Farm TD/ Render Wrangler
Stellar Creative Lab
Vancouver, BC
- $75,000 to $83,000 CAD / year
- Full-time
Software: Hands on production experience with Maya, Nuke, Houdini, and render farm management software like Deadline.
Added 10 days ago
R
Spécialiste des systèmes de contrôle / Control Systems Specialist
RTX
Longueuil, QC
- Full-time
Added 10 days ago
A
Cs Team Operator
Armstrongs
AB · Becklar Edmonton
- Part-time
Must be available to work Day/Early morning shifts
Added 10 days ago
DC
Senior System Engineer
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
Lead integration of complex analytical instrumentation across hardware, software, mechanical, and analytical disciplines.
Added 10 days ago
F
Senior Platform Engineer
Flinks
Remote, Canada
- Full-time
- Remote
Build and own our internal developer platform: a Backstage-based portal and service catalog with software templates that scaffold a production-ready service (repo, pipeline, infrastructure,…
Added 10 days ago
S
Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
This role participates in a rotating shift schedule to help provide extended coverage across time zones · This position is based in our Calgary office with an expectation of between three to four days in office per week

Conviva

AI/ML Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 1, 2027
Posting language: English
Posted: Oct 18, 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 LinkedIn About employer

More about this job

Responsibilities

Design, train, evaluate, and iteratively improve machine learning models, owning the lifecycle from dataset construction and experimentation through debugging and evaluation. Collaborate with product and engineering teams to translate research into practical solutions and contribute to the data pipelines, tools, and infrastructure that enable scalable ML development.

Requirements

A PhD in computer science, machine learning, mathematics, statistics, or a related quantitative field is preferred, with recent PhD graduates encouraged to apply. Candidates should have strong ML fundamentals, hands-on model development experience, proficiency in Python, C++, or another relevant language, and experience with frameworks such as PyTorch or TensorFlow.

Skills

Machine Learning
Deep Learning
Reinforcement Learning
Large Language Model Training And Fine-Tuning
PyTorch
TensorFlow
Python
C++
Probability And Statistics
Experimental Design
Model Evaluation
Error Analysis
Data Pipelines
Distributed Training
MLOps
Spark And Flink

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Deep Learning
Reinforcement Learning
Large Language Models
LLM Fine-Tuning
Model Training
Model Evaluation
PyTorch
TensorFlow
Python
C++
Probability
Statistics
Algorithms
Data Structures
Experimental Design
Error Analysis
Dataset Construction
Data Preparation
Data Pipelines
Distributed Training
ML Systems Optimization
Model Serving
Monitoring
MLOps
Spark
Flink
Streaming Analytics
Experience Analytics

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Work requirements

Jobs in Canada