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Added 4 mins ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
…presence in Peru, Mexico, and the USA, we are looking for a Senior Data Engineer to join our team and collaborate directly with our client in the Canadian financial…
Added 4 mins ago
RI
Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
Collaborate with Program Managers and Product Owners to estimate effort, manage technical risks, and deliver against committed timelines.
Added 4 mins ago
BH
Lead Engineer - Ruby on Rails
Beacon Holdings
Canada
- Full-time
You would be the only engineer on 99Pledges. Architecture, deploys, incidents, vendor calls, and prioritization all sit with you. There is no one to hand work to, so the job rewards people…
Added 4 mins ago
AI
Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 4 mins ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
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 4 mins ago
A
Concepteur(trice) ferroviaire
AtkinsRéalis
Montreal, QC
- Full-time
We are looking for a Railway Design Engineer to join our team in Montréal Office. As part of the Public Transport and Rail team, you will play an active role in delivering rail projects.…
Added 19 mins ago
MF
Process Engineer
McCain Foods
Carberry, MB
- Full-time
McCain Foods (Canada) has an immediate opening for a Process Engineer at our Carberry, Manitoba Food Processing Plant. This role reports to the Production Manager. This role makes sure the…
Added 19 mins ago
C
Senior Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
Collaborate cross-functionally with engineering, product management, operations, and data science to identify new ML-driven features for Clio customers
Added 34 mins ago
PI
Senior Database Reliability Engineer
PENN Interactive
Canada
- Full-time
We are looking for a Senior Database Reliability Engineer to join our thriving Engineering team, to work cross-functionally across engineering, focusing on the architecture for optimal…
Added 34 mins ago
JC
Plant Quality Manager
Johnson Controls
Nisku, AB
- Full-time
…manufacturing operations, supplier quality, customer quality, new product introduction, and quality management…
Added 34 mins ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Collaborate with Product Owners, Business Analysts, and QA teams to define requirements, estimate work, and deliver solutions.
Added 34 mins ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Collaborate with Product Owners, Business Analysts, and QA teams to define requirements, estimate work, and deliver solutions.
Added 49 mins ago
T
Staff Machine Learning Engineer, Sensors & Intelligence
Tonal
Remote, Canada
- $160,000 to $185,000 CAD / year
- Full-time
- Remote
Your job is to turn that multimodal data into general-purpose representations of how people move, exert effort, fatigue, and adapt over time. Those representations will power the next…
Added 1 hour ago
C
Senior Machine Learning Engineer
Clio
Canada
- Full-time
Collaborate cross-functionally with engineering, product management, operations, and data science to identify new ML-driven features for Clio customers
Added 1 hour ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
· Provide hands-on senior technical consultancy across the SDLC for complex application, integration, API, data, infrastructure, and production issues.
Added 1 hour ago
Technology Lead
Infosys
ON
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
Added 1 hour ago
Technology Analyst
Infosys
ON
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
Added 1 hour ago
KR
AI Delivery - Oracle Fusion AI
KTek Resourcing
Brampton, ON
- Contract
Collaborate with Program Managers and Product Owners to estimate effort, manage technical risks, and deliver against committed timelines.
Added 1 hour ago
G
Forward Deployed Engineer Intern (FDE)
GeoComply
Vancouver, BC
- Internship
As a Forward Deployed Engineer Intern, you’ll sit inside one of those pods, in one of our three technical functions, Product, Data, or Engineering. The work is technical and the feedback…
Added 1 hour ago
GeoComply Graduate Rotational Program (Technology)
GeoComply
Vancouver, BC
☐ Data and Analytics: turning data into answers and dashboards
Added 1 hour ago
GeoComply Graduate Rotational Program (Customer, Growth, and Operations)
GeoComply
Vancouver, BC
☐ Marketing: brand, content, campaigns and product marketing
Added 1 hour ago
IC
Compiler Engineer for Tile-based AI DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
In this position as a Compiler Engineer, you will focus on enhancing and maintaining cutting-edge compiler software tools optimized for Intel processors. Your day-to-day responsibilities…
Added 2 hours ago
MN
Junior Cloud QA Specialist (SDET) - 13-month term contract (maternity leave)
March Networks
Ottawa, ON
- Contract
Deliver value to our customers by validating business workflows across the product suite
Added 2 hours ago
C
AI/ML Engineer
Conviva
Toronto, ON
- Full-time
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 2 hours ago
S
Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
…At Sidetrade, we're looking for a driven Technical Support Engineer to join our global Support team. You'll work with enterprise customers across North America and Europe, troubleshoot…

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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