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Added 7 days ago
E
APPLIED AI SOFTWARE DESIGNER
Ericsson
Ottawa, ON
- Full-time
We are seeking an Applied AI Software Designer with 2–4 years of software engineering experience and hands-on experience applying AI to developer workflows. You will use Large Language…
Added 7 days ago
GD
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google DeepMind
Toronto, ON
- Full-time
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 7 days ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google
Toronto, ON
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 7 days ago
CC
RQ11828 - Software Developer - Intermediate
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
REQUIREMENTS-Must Have:
Added 7 days ago
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Ingénieur de données senior
CGI
Montreal, QC
- Full-time
They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions…
Added 7 days ago
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FY27 Intern - Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This…
Added 7 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.
Added 7 days ago
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FY27 Intern - Qualcomm SoC Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Familiarity with one or more programming or hardware languages such as Verilog, SystemVerilog, C, C++, Python
Added 7 days ago
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Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Remain hands-on with Python while owning key architecture decisions
Added 7 days ago
Senior Data Scientist
Conviva
Toronto, ON
…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…
Added 7 days ago
AI/ML Engineer
Conviva
Toronto, ON
…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…
Added 7 days ago
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Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
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Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
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Senior Data Scientist
Conviva
Toronto, ON
- Full-time
…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…
Added 7 days ago
Technology Lead
Infosys
ON
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
Technology Analyst
Infosys
ON
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
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AI/ML Engineer
Conviva
Toronto, ON
- Full-time
…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…
Added 7 days ago
Sr. Software Engineer, Systems Framework & Infrastructure
Tenstorrent
Toronto, ON
A strong programmer in C, C++, and Python with fluency in Git for source code management using rebase and feature-branch workflows.
Added 7 days ago
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AWS DevOps & Cloud Security Engineer
Vielight Inc.
Toronto, ON
- Full-time
Backend Infrastructure: Support the deployment and operation of Python-based backend services, REST APIs, PostgreSQL databases, and asynchronous processing pipelines (Celery/RabbitMQ).
Added 7 days ago
WT
Python Backend Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for an experienced Python Backend Developer with strong expertise in Python fundamentals, FastAPI, asynchronous programming, and backend system design. The ideal candidate…
Added 7 days ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
…Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and…
Added 7 days ago
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Senior Full Stack Engineer
arcadia
Toronto, ON · Greater Toronto Area, Canada
- $200,000 to $250,000 CAD / year
- Full-time
Fluency in Python and TypeScript/JavaScript, with experience in React and PostgreSQL
Added 7 days ago
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Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Contract
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Added 7 days ago
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Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Full-time
- Contract
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Added 7 days ago
H
Data Engineer
Hays
Montreal, QC
- Contract
Strong hands-on development experience with Python.

Conviva

AI/ML Engineer

Toronto, ON, Canada

Apply on job-boards.greenhouse.io About employer

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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.

Apply on job-boards.greenhouse.io About employer

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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Jobs in Canada