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Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 38 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for…
Added 53 mins 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 53 mins ago
LB
Software Developer, Platform & AI Solutions
Laurentian Bank
Burlington, ON
- Full-time
Develop and maintain C#/.NET components, integrations, APIs, data processes, and supporting services that extend Odessa capabilities and connect the platform with surrounding enterprise…
Added 1 hour ago
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Head of Tax & Asset Compliance
Geotab
Toronto, ON
- Full-time
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
Added 1 hour ago
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Head of Tax & Asset Compliance
Geotab
Waterloo, ON
- Full-time
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Winnipeg, MB
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Moncton, NB
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Halifax, NS
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
C
Core Banking Architect | RFS360 Core Banking and Wealthview Banking
CGI
Halifax, NS
- Full-time
Ensure platform scalability, performance, availability, resilience, data integrity, and backward compatibility.
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Quebec, QC
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour 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 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Toronto, ON
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Montreal, QC
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Vancouver, BC
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 1 hour ago
WI
Manager, Ethics and Integrity Program
WSP in Canada
Calgary, AB
- Full-time
…measures that facilitate collaboration and growth. You will also support the effective use of the team’s shared Teams communications platform and file…
Added 2 hours ago
K
Senior Product Manager (8 Month Contract)
Knix
Toronto, ON
- Contract
…strategic planning and implementation of a digital roadmap to support Knix. You will use data, company insights, and customer feedback to prioritize, plan, and manage the initiatives from…
Added 2 hours ago
E
Project Manager - Control System Upgrades
Evertz
Burlington, ON
- Full-time
Coordinate kick-off, wrap-up and upgrade sync calls with the Regression, Product and Support teams
Added 2 hours ago
Q
FY27 Intern - Deep Learning Research Internship - Canada (4 Months)
Qualcomm
Markham, ON
- Full-time
Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values…
Added 2 hours ago
Q
FY27 Intern - Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
Our early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values…

Conviva

AI/ML Engineer

Toronto, ON, Canada

Full-time

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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.

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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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