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Added 12 mins ago
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Senior Machine Learning Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and…
Added 12 mins ago
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Software Engineer II
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 12 mins ago
Technology Lead
Infosys
ON
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 12 mins ago
Technology Analyst
Infosys
ON
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 12 mins ago
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Senior Product Design Engineer / Développeur·euse design de produit senior
Vention
Montreal, QC
- Full-time
…diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real…
Added 13 mins ago
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AI Delivery - Oracle Fusion AI
KTek Resourcing
Brampton, ON
- Contract
…AI Solution Delivery Team. This role will lead the design, development, implementation, and operationalization of enterprise AI solutions across Finance, Supply Chain, Procurement, HR, and…
Added 28 mins ago
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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 28 mins ago
GeoComply Graduate Rotational Program (Technology)
GeoComply
Vancouver, BC
☐ Product Management: deciding what we build and why
Added 28 mins ago
GeoComply Graduate Rotational Program (Customer, Growth, and Operations)
GeoComply
Vancouver, BC
☐ Marketing: brand, content, campaigns and product marketing
Added 28 mins 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 43 mins ago
Ent Level Mechanical Eng
Magellan
Winnipeg, MB
…professional relationships that thrive. We know that personal development is fundamental to the success of every individual and invest in our…
Added 58 mins ago
CS
Product Development Engineer
CQ Search Group Ltd.
Vaughan, ON
- $120,000 to $140,000 CAD / year
- Full-time
Project Engineer/Product Development engineer – material handling/Forklift Equipment / Product Development
Added 1 hour ago
MN
Junior Cloud QA Specialist (SDET) - 13-month term contract (maternity leave)
March Networks
Ottawa, ON
- Contract
Write crisp, reproducible defect and observation tickets and collaborate with development, product management and other stakeholders to get them resolved.
Added 1 hour ago
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Growth Marketing Engineer
Healthcord Cryogenics
Vancouver, BC
- Full-time
…gaps, move quickly, and ship quality work across design, web development, content, and…
Added 1 hour ago
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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 1 hour ago
DC
Senior System Engineer
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
The Senior Systems Engineer is a customer-focused role responsible for to helping us design, characterize and verify key technologies on world-class mass spectrometers. In this capacity,…
Added 1 hour ago
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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…
Added 1 hour ago
TU
Software Engineer Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Full-time
Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience.
Added 1 hour ago
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Plant Operator
CCL
Fort McMurray, AB
- $75 to $85 CAD / hour
- Contract
Support the development and implementation of training manuals and safe operating procedures.
Added 1 hour ago
O
Senior Product Manager, Okta Customer Identity
Okta
Toronto, ON
- $146,000 to $200,000 CAD / year
- Full-time
We're hiring a Senior Product Manager to grow OCI's footprint inside our existing enterprise base and to incubate the next generation of platform capabilities. This is a builder's role.…
Added 1 hour ago
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React Native - Mobile FullStack Developer
Zoho
Toronto, ON
- Contract
As a Senior Full Stack Software Engineer in our US Retirement technology organization, you will design, build, and ship high-quality mobile and backend solutions that serve our Retirement…
Added 1 hour ago
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Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 hours ago
TR
Staff Software Engineer - II (KeyCite)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
As a Staff Software Engineer II at KeyCite, you will lead complex, business-critical engineering initiatives from architecture through production. You will modernise established platforms…
Added 2 hours ago
AI Engineer, Platform and Runtime
HS Financial Technologies
Halifax, NS
At HSFT, we are committed to helping employees build meaningful, long-term careers through structured development programs, leadership opportunities, and clear paths for growth. Guided by…
Added 2 hours ago
S
Technical Support Engineer
Sidetrade
Calgary, AB
- Full-time
…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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