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Added 15 mins ago
RB
Trade Sales Planning Manager
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Toronto, ON
- Full-time
Added 45 mins ago
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Aviva
Markham, ON · Toronto, ON
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related quantitative discipline. Equivalent experience will also be considered.
Added 45 mins ago
TB
Manager, Strategy
Toronto Blue Jays
Toronto, ON
- Full-time
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Spécialiste en fiabilité / Reliability Specialist
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Montreal, QC
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Added 1 hour ago
Advisor Resource Acquisition
Independent Electricity System Operator
Canada
The Advisor, Resource Acquisition will help develop qualitative and quantitative analysis to help shape the design, development and execution of Resource Adequacy mechanisms and broader…
Added 1 hour ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
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.
Added 1 hour ago
BH
Evaluation and Quality Improvement Coordinator
Boyle-McCauley Health Care
Edmonton, AB
- $24.15 to $32.36 CAD / hour
- Full-time
Use quantitative and qualitative analysis to identify trends and generate actionable insights for program/service improvement
Added 1 hour ago
M
Safety Risk Specialist
Metrolinx
Canada
- Full-time
Conduct and/or guide the conduct of quantitative and qualitative analysis of safety risks within operational programs in order to identify high priority safety risks.
Added 2 hours ago
C
Manager, Business Development
Clearco
Canada
- Full-time
Embrace Data: You recognize the importance of a quantitative approach to making decisions.
Added 2 hours ago
BR
Manager, Risk Control
Brookfield Renewable U.S.
Gatineau, QC
- Full-time
Undergraduate degree in quantitative finance or another quantitative discipline such as economics, mathematics, physics or engineering; a Master’s degree and/or financial designation such…
Added 2 hours ago
R
2027 Capital Markets, Debt Capital Markets Winter Analyst (8 Months)
RBC
Toronto, ON
- Full-time
Strong quantitative and analytical skills. Financial modeling experience would be desired
Added 2 hours ago
Production Supervisor
HelloFresh
Mississauga, ON
Quantitative and analytical experience – must have proficiency using MS Excel and G-Suite Apps.
Added 2 hours ago
H
Senior Manager, Forward deployed Decision Scientist
Hays
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Bachelor’s degree in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, Computer Science or a related quantitative discipline, or equivalent relevant experience.
Added 2 hours ago
PC
Financial Analyst, FP&A
Powerex Corp.
Vancouver, BC
- Full-time
Degree in Finance, Accounting, Economics, Business Administration, or a related quantitative field
Added 2 hours ago
M
Summer Intern 2027 - Change Management
Manulife
Toronto, ON
- Full-time
Ability to synthesize qualitative and quantitative information into clear insights, recommendations, and executive-ready summaries.
Added 2 hours ago
H
Product Owner Manager
HP
Vancouver, BC
- Full-time
· Use qualitative and quantitative evidence to identify systemic issues and recommend improvements.
Added 2 hours ago
NB
Analyst Loan Structuring and Syndication
National Bank of Canada
Toronto, ON
- Full-time
Excellent analytical and quantitative skills, with a solid understanding of financial transactions and associated risks
Added 2 hours ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A bachelor's or master's degree in a quantitative field and two to three years of experience in modelling, decision-making strategies, data science or a related function.
Added 2 hours ago
Director, Product Marketing - Scotia Global Asset Management
Scotiabank
Toronto, ON
…strategy. Champion a data-driven marketing approach that integrates quantitative and qualitative insights to identify competitive differentiation, strengthen brand positioning, enhance…
Added 2 hours ago
FC
Junior Associate, Sustainable Infrastructure
FinDev Canada
Remote, Canada
- Contract
- Remote
Strong analytical, quantitative, and problem-solving skills.
Added 2 hours ago
FC
Junior Associate, Sustainable Infrastructure
FinDev Canada
Remote, Canada
- Contract
- Remote
Strong analytical, quantitative, and problem-solving skills.
Added 2 hours ago
R
Ecosystem Insights Strategy Lead
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
Synthesize and triangulate qualitative stories with quantitative data to create a holistic, 360-degree view of the patient-consumer journey (e.g. from research methodologies above, field…
Added 3 hours ago
AC
Project Manager & Org Change Management Specialist
Assiniboine Credit Union
Winnipeg, MB
- Full-time
Monitor and evaluate the effectiveness of Change Management initiatives, using qualitative and quantitative data where applicable.
Added 3 hours ago
OH
Lead, Coordinated Access
Ontario Health
Hamilton, ON · London, ON · Sarnia, ON · Stratford, ON · Waterloo, ON · Windsor, ON
- Full-time
Experience in qualitative and quantitative analysis, including systematic literature reviews.
Added 3 hours ago
FC
Junior Associate, Sustainable Infrastructure
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Montreal, QC
- Contract
Strong analytical, quantitative, and problem-solving skills.

Conviva

AI/ML Engineer

Toronto, ON, Canada

Full-time

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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.

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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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