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Added 1 min ago
R
Ingénieur Manufacturier Senior - Réparation de composants / Senior Manufacturing Engineer - Componen
Rolls-Royce
Montreal, QC
- Full-time
Added 2 mins ago
Quality Control & Continuous Improvement Engineer
JDS Energy & Mining
Barkerville, BC
The Quality Control & Continuous Improvement Engineer is responsible for developing, implementing, and maintaining quality control systems and continuous improvement programs for…
Added 16 mins ago
PC
Software Engineer Intern
Peakhill Capital
Toronto, ON
- Contract
Added 17 mins ago
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Software Engineering LMTS
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Vancouver, BC · Canada - Vancouver
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 17 mins ago
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Senior Lead Data & AI Engineer
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- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 17 mins ago
TR
Software Engineer
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- Full-time
Thomson Reuters is looking for a Software Engineer with an appetite to learn AI-code generation skills within our Editorial Tools & Services team.
Added 31 mins ago
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Project Engineer/Analyst
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- Full-time
…communication, human resources, contracts, materials, risks, and…
Added 31 mins ago
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Technician, Niagara Takes Flight
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Niagara Falls, ON
- $27.44 to $33.74 CAD / hour
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Added 31 mins ago
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Associate – Applications Engineering Team
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Added 31 mins ago
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Senior Design Liaison Engineer
GE Vernova
Richmond, BC
- Full-time
Added 31 mins ago
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Engineer, Quality Assurance
AvPosts
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- Full-time
Engineer, Quality Assurance (Ref. #:2026-053) Sunwest Aviation Ltd. is the leading Western Canadian operator of jet and turboprop charter aircraft. Our fleet consists of a wide variety of…
Added 32 mins ago
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Senior Java Engineer – Agentic AI Driven Development
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…to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document…
Added 32 mins ago
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Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
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Added 32 mins ago
AI/ML Engineer
Conviva
Toronto, ON
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…
Added 1 hour ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 1 hour ago
IG
Senior Product Engineer
Insight Global
Burlington, ON
- $110,000 to $125,000 CAD / year
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…manufacturing transfer, working closely with Design, Test, Validation, Quality, Reliability, Applications, Marketing, and Operations…
Added 1 hour ago
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Azure Data Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Azure Data Engineer to design, develop, and support scalable data ingestion and processing solutions on the Microsoft Azure platform. The candidate will be…
Added 1 hour ago
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Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
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 1 hour ago
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Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 1 hour ago
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Global Methods Engineer - Machining
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Added 1 hour ago
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Game Modes Software Engineer - EA SPORTS™ NHL
EA SPORTS
Vancouver, BC
- Temporary
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Added 1 hour ago
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Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
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We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 1 hour ago
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PD Software for Service
Husky Technologies
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The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 1 hour ago
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Department Manager, Water Facilities (Canada)
Jacobs
Toronto, ON
- $136,600 to $225,925 USD / year
- Full-time
…key partners including the Director of Operations, Principal Engineer and their team, Managers of Projects (MOPs), Client Account Managers (CAMs), Client Sector Leaders (CSLs), Regional…
Added 1 hour ago
J
Department Manager, Water Facilities (Canada)
Jacobs
Calgary, AB
- $136,600 to $225,925 USD / year
- Full-time
…key partners including the Director of Operations, Principal Engineer and their team, Managers of Projects (MOPs), Client Account Managers (CAMs), Client Sector Leaders (CSLs), Regional…

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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