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Added 1 hour ago
RB
Lead Quality Engineer - Automation (Data)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Quality Engineer is responsible for creating and executing comprehensive end to end testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 1 hour ago
Channel Solutions Engineer
Verkada
Toronto, ON
Verkada is seeking a seasoned Channel Solutions Engineer in Canada with experience in Physical Security, IoT Systems, Networking, Video Surveillance, and Access Control. This individual…
Added 1 hour ago
B
Building Enclosure Engineer
BPA
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Senior Building Enclosure Engineer to join our Building Science and Restoration team.
Added 2 hours ago
A
Ingénieur En Mécanique / Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
Job Title: Mechanical Engineer Job Description
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 hours ago
C
Senior Silicon ML Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…nexus of silicon design and machine learning. As a Silicon ML Engineer on our team, you’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on…
Added 2 hours ago
A
Power System Engineer
ABB
QC · Saint-Laurent, Quebec
- Full-time
Added 2 hours 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 3 hours ago
CP
Senior AI Engineer
CD PROJEKT RED
Canada
- Full-time
Added 3 hours ago
J
Development Ops Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Development Ops Engineer based in Canada.
Added 3 hours ago
L
Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
Senior Software Engineer - Tech Distribution & Logistics Systems
Added 3 hours ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration…
Added 3 hours ago
C
Senior Site Reliability Specialist (SRE) – Equity Trading Platform
CGI
Montreal, QC
- Full-time
We’re looking for a Senior Site Reliability Engineer to join our Montréal team. You’ll deploy, support, and improve the Equity platform across the Americas, helping provide the best…
Added 3 hours ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
We are seeking a hands-on Electronics Engineer to support the testing, troubleshooting, and development of electronic hardware and devices. In this role, you will work closely with a…
Added 3 hours ago
A
Spécialiste Qualité Fournisseurs
Actalent
Laval, QC
- $40 to $55 CAD / hour
- Contract
We are seeking a Supplier Quality Engineer to manage a critical supplier, ensuring that commitments are met, recovery plans are driven, and supply chain risks affecting production are…
Added 3 hours ago
A
Power System Engineer
ABB
Montreal, QC · Saint-Laurent, QC
- Full-time
Added 4 hours ago
T
Full Stack Engineer
Tookli
Mascouche, QC
- Full-time
Role Description The Full Stack Engineer will work on-site full time at Tookli’s location in Montreal, QC, contributing to the design, development, and maintenance of web applications from…
Added 4 hours ago
RR
Android & Robotics Software Developer
Remote Robotic
Ottawa, ON · Kanata, ON
- $40 to $55 CAD / hour
- Contract
…term of the contract. Working directly with the Lead Software Engineer and product team, you will help shape technical decisions and deliver a reliable, field-ready…
Added 4 hours 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,…

Conviva

AI/ML Engineer

Toronto, ON, Canada

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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.

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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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