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Added 8 mins ago
BB
AV Estimator lI
Bosch Building Technologies
Toronto, ON
- $72,540 to $97,988.68 CAD / year
- Full-time
…Technologies and Climatec combined their branch networks, creating a product-agnostic systems integrator focus on delivering flexible, future-ready solutions, offering customers an…
Added 8 mins ago
OA
Lot Associate - OpenRoad Toyota Richmond
OpenRoad Auto Group
Richmond, BC
- Full-time
· To be aware of and report to the department manager any area of concern as far as supplies, equipment, or other problem areas concerning the care of and delivery of a quality product.
Added 8 mins ago
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Principal Organic Specialist
Legend
Toronto, ON
- Full-time
Lead from the front: Take ownership of complex initiatives from strategy through execution, testing and optimization, working closely with Product, Engineering and Content.
Added 8 mins ago
LC
Application Developer, Junior
Linamar Corporation
Guelph, ON
- Full-time
The Junior Application Developer position will support the development, maintenance, and troubleshooting of plant-level software and manufacturing systems. This role works closely with…
Added 8 mins 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 8 mins ago
GeoComply Graduate Rotational Program (Technology)
GeoComply
Vancouver, BC
☐ Product Management: deciding what we build and why
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GeoComply Graduate Rotational Program (Customer, Growth, and Operations)
GeoComply
Vancouver, BC
☐ Marketing: brand, content, campaigns and product marketing
Added 8 mins ago
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Packager - Day shift (7:00am - 3:30pm)
Bimeda
Cambridge, ON
- Full-time
Reporting to the Production Supervisor, the Packager is responsible for ensuring the product meets quality standards during manual packaging operations and packing product in compliance…
Added 8 mins ago
B
Production Technician: Machine Operator - Night Shift (11:00pm-7:30am)
Bimeda
Cambridge, ON
- Full-time
Reporting to the Production Supervisor, the Non-Sterile Machine Operator is responsible for ensuring product meets quality standards during packaging operations by operating equipment and…
Added 8 mins ago
M
Associate Product Owner, Travel
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
…support our growth ambitions for 2027 and beyond. The Associate Product Owner is an exciting opportunity to contribute to the delivery and enhancement of travel solutions that support…
Added 8 mins ago
LS
Part time Supervisor
Levi Strauss & Co.
Calgary, AB
- Part-time
Participates in training process for new hires and current employees on LS&CO culture, product knowledge, service practices, loss prevention, store policy and programs and other associate…
Added 8 mins ago
BS
Management In Training
Browns Shoes
Ottawa, ON
- Full-time
Expert Assistance: Learn to provide exceptional product information and handle inquiries professionally on the cash and selling floors.
Added 8 mins ago
BS
Management In Training
Browns Shoes
Ottawa, ON
- Full-time
Expert Assistance: Learn to provide exceptional product information and handle inquiries professionally on the cash and selling floors.
Added 8 mins ago
BS
Management In Training
Browns Shoes
Ottawa, ON
- Full-time
Expert Assistance: Learn to provide exceptional product information and handle inquiries professionally on the cash and selling floors.
Added 8 mins ago
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Senior Manager, Guest Communication & Engagement
Armstrong Collective
Vancouver, BC
- Full-time
…across Operations, Marketing, Guest Experience Centre (GEC), Product, Technology, and Corporate Communications. Through a guest-first mindset, sound decision-making, innovation, and…
Added 8 mins ago
CB
Quality Assurance Technician
Cerelia Bakery Canada LP
Mississauga, ON
- Full-time
…high-quality, innovative products. It is committed to food safety, product innovation, and continuous improvement, while fostering a collaborative and dynamic workplace for its…
Added 8 mins ago
IC
Compiler Engineer for Tile-based AI DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
- Collaborate across geographies with engineering, validation, and performance teams to enhance product quality and usability.
Added 8 mins ago
SC
Warehouse Lead Hand, Mon-Fri, 5am-130pm
Staples Canada
Calgary, AB
- Full-time
Working knowledge of warehouse operations; product knowledge would be an asset.
Added 8 mins ago
M
Senior Developer, Rapid Innovation Development
MNP
AB · Calgary, AB
- Full-time
Make an impact with our Innovation & Insights team as a Senior Developer, Rapid Innovation Development. This diverse team of future-focused problem solvers works with key leaders across MNP…
Added 8 mins ago
Manager, Ingredient Strategy
HelloFresh
Toronto, ON
The Product Innovation team is looking for a Manager, Ingredient Strategy to own the commercial and operational side of bringing new ingredients to HelloFresh. Supporting the Canadian…
Added 23 mins ago
LC
Gérant boulangerie
Loblaw Companies Limited
Alma, QC
- Full-time
Train and develop department associates in customer service, product knowledge, and merchandising
Added 23 mins ago
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Truck Driver
EECOL
Calgary, AB
- Full-time
…exceptional service, proprietary solutions, and a complete product portfolio to a diverse range of customers' electrical requirements in automation, utility, lighting, data communication,…
Added 23 mins ago
Ent Level Mechanical Eng
Magellan
Winnipeg, MB
Present product design, analysis and report information to internal and external customers.
Added 23 mins ago
Account Executive (Sales) (Medical) (Healthcare) - Winnipeg, Manitoba
Arjo
Winnipeg, MB
The Account Executive is responsible for driving the demand of product usage in all care settings to achieve financial and strategic goals within an assigned territory.
Added 23 mins ago
Operator - MMU (Goose Lake, NU)
Orica
NU · Goose Lake, NU
…approach focused on coordinating assigned machine operation and product handling…

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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