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Added 7 mins ago
S
Global Methods Engineer - Machining
Safran
Mirabel, QC
- Full-time
Support production by providing expertise in the scope.
Added 21 mins ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive…
Added 21 mins ago
DO
Sr. Industrial Designer
Design Observer
Calgary, AB
- Full-time
Mentor Product Designers, providing guidance and support to ensure the team's success and professional
Added 21 mins ago
AC
Sr. Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
…switches. Our products enable the electronics revolution and support major Tier 1 OEMs globally. We are seeking an experienced Product Development / Mechanical Design Engineer to help…
Added 21 mins ago
O
Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
As a Senior Software Engineer, you'll work most closely with our Technical Lead Manager for AI Oversight, and you'll build core parts of this system and the products on top of it. You'll…
Added 36 mins ago
C
Software Developer
Cisco
Vancouver, BC
- Full-time
Senior Software Engineer (G10) – Job Description
Added 36 mins ago
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Process Engineer
''
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 51 mins ago
C
Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
…operationalizing enterprise artificial intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business…
Added 51 mins ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
…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 51 mins ago
RI
Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
Support AI solution scaling from Proof of Concept (POC) through enterprise production deployment.
Added 51 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 51 mins ago
VC
URGENT - Sr. Software Engineer (Machine Learning, .Net, Angular, Docker)
VTRAC Consulting Corporation (WBE)
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Contract
This is an exciting opportunity for a highly skilled Senior Software (ML) Engineer to develop intelligent, high-performance software solutions that transform modern manufacturing…
Added 51 mins ago
MC
Cloud Operations Engineer – Azure AKS Terraform (36170)
Myticas Consulting
Toronto, ON
- Full-time
Production Support, Incident Management & Security
Added 51 mins ago
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Quality Assurance (QA) Analyst
Raise
Burnaby, BC
- Full-time
Develop, document, and implement QA standards, templates, methodologies, release checklists, and formal quality gates prior to production deployment.
Added 51 mins ago
FS
Senior AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Experience with testing, production support, and system reliability.
Added 51 mins ago
C3
Systems Engineer, Sr
Company 3
Toronto, ON
- $42 to $61.54 CAD / hour
- Full-time
The Senior Systems Architect will design, build, and support the core infrastructure for Company 3 and SDFX, spanning post-production, color, finishing, editorial, VFX, and audio mixing…
Added 51 mins ago
Member IT Services - Senior Cloud and Infrastructure Engineer
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
We are currently recruiting for a Senior Cloud & Infrastructure Engineer to support our Information Technology – Cloud and Infrastructure team.
Added 1 hour 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 1 hour 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 1 hour ago
NG
Mine Engineer in Training
New Gold Inc.
Kamloops, BC
- Full-time
…a wide variety of technical growth opportunities. The Mine Engineer in Training will be initially placed dependent on the successful candidate’s relevant experience and current business…
Added 1 hour ago
KG
AI -Senior Mobile Engineering Specialist
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
8+ years' experience in mobile device management, working at senior engineer level
Added 1 hour ago
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Senior Systems Engineer
Aviso
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
We're looking to fill an opening for a Senior Systems Engineer to join our Technology Ops & Support Partners team.
Added 1 hour ago
A
Quality Assurance Tech III
Actalent
Vancouver, BC
- $45 to $50 CAD / hour
- Contract
We are seeking a talented and highly motivated Quality Assurance Engineer for a contract position. The ideal candidate possesses excellent communication skills, attention to detail, and has…
Added 1 hour ago
MM
Senior Cloud and Infrastructure Engineer
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- $95,000 to $103,000 CAD / year
- Full-time
We are currently recruiting for a Senior Cloud & Infrastructure Engineer to support our Information Technology – Cloud and Infrastructure team.
Added 1 hour ago
A
Manufacturing Process Engineer
Actalent
Ottawa, ON
- $50 to $65 CAD / hour
- Contract
The Manufacturing Process Engineer supports the development, implementation, and optimization of manufacturing processes in a highly regulated environment. This role works closely with…

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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