Ontario Applied scientist Jobs – 52 Openings This Week

Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc. —Toronto, ON
- $245,000–$315,000 a year
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
5h
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
- $210,000–$240,000 a year
- Remote
- Medicine
- Doctoral degree
- Computer Science
Quick apply
5h
Applied AI Scientist
League Inc. —Toronto, ON
- $151,600–$160,000 a year
- Remote
- Computer Science
- Master's degree
- AWS
Quick apply
Applied Scientist, Sales AI
Amazon Development Centre Canada ULC —Toronto, ON
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Java
- Profit sharing
- Dental care
Research And Development Scientist - Geochemistry
Actlabs —Ancaster, ON
- $85,000–$133,000 a year
- Full-time
- Microsoft Excel
- Doctoral degree
- Laboratory experience
- Dental care
- Paid time off
Quick apply
Director of Operations - Sunnybrook Research Institute - Regular Full-time 2026-17836
Sunnybrook Health Sciences Centre —Toronto, ON
- Full-time
- Research
- Master's degree
- Project management
Quick apply
Environmental Risk Assessor
Geosyntec Consultants, Inc. —Toronto, ON
- $105,530–$137,190 a year
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- Bachelor's
Principal AI Research Scientist Post-Training Alignment
Autodesk —Toronto, ON
- Full-time
- Doctoral degree
- Laboratory experience
- Research
Research Director, Machine Learning
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Research
6d
Research Project Manager
ICES Central —Toronto, ON
- $65,000–$75,000 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Employee assistance program
Quick apply
Senior Manager, Biology R&D
Vive Crop Protection —Mississauga, ON
- $120,000–$180,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Research
- Paid time off
Quick apply
Senior Consultant (Geology)
SRK Consulting —Toronto, ON
- $120,000–$160,000 a year
- Full-time
- English
- Master's degree
- Leadership
- Dental care
Principal Quantum Scientist
Q-Block Computing —Ottawa, ON
- $150,000–$200,000 a year
- Full-time
- Doctoral degree
- Research
- In-person
Quick apply
Senior Technical Manager, Archaeology
WSP —Ontario
- $119,900–$175,800 a year
- Driving
- Quality Control
- Leadership
Senior Air Quality Specialist - Infrastructure
Onterris —Oakville, ON
- Full-time
- Civil engineering
- Engineering
- Business development
Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)
Autodesk —Toronto, ON
- Full-time
- Remote
- Doctoral degree
- System design
- Laboratory experience
Senior Archaeologist
WSP —Thunder Bay, ON
- $99,900–$146,500 a year
- Driving
- Budgeting
Principal Consultant (Structural Geology)
SRK Consulting —Toronto, ON
- $160,000–$200,000 a year
- Full-time
- Spanish
- Master's degree
- Travel
Vector Distinguished Postdoctoral Fellow
Vector Institute —Toronto, ON
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Senior Consultant (Structural Geology)
SRK Consulting —Toronto, ON
- $120,000–$160,000 a year
- Full-time
- Spanish
- Master's degree
- Leadership
Intermediate/Senior Air Project Manager
R.J. BURNSIDE & ASSOCIATES LIMITED —Barrie, ON
- $80,000–$100,000 a year
- Hybrid work
- Microsoft Excel
- Math
- Organizational skills
- Flexible schedule
Quick apply
Geophysicist
CSMC —Waterloo, ON
- Full-time
- Doctoral degree
- Master's degree
- Presentation skills
Quick apply
Applied Data Scientist, Finance AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
- $210,000–$245,000 a year
- Call to connect
- Remote
- Master's degree
- SQL
- No university degree
Quick apply
5h
Associate Manager, Scientific Program Development - Global (18-Month Contract)
DECIEM —Toronto, ON
- $70,000–$75,000 a year
- Contract
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Google Suite
- Paid time off
- Employee assistance program
1d

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Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
Degree in a relevant field such as biostatistics, epidemiology, computational biology, health informatics, computer science with a health focus, statistics, a…
$210,000–$240,000 a year
Quick apply
5h
Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc. —Toronto, ON
Strong coding skills in Python for research experimentation and analysis (e.g., data processing, evaluation pipelines, statistical analysis, visualization).
$245,000–$315,000 a year
Quick apply
5h

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Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc. —Toronto, ON
Strong coding skills in Python for research experimentation and analysis (e.g., data processing, evaluation pipelines, statistical analysis, visualization).
$245,000–$315,000 a year
Quick apply
5h
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
Degree in a relevant field such as biostatistics, epidemiology, computational biology, health informatics, computer science with a health focus, statistics, a…
$210,000–$240,000 a year
Quick apply
5h

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Applied Research Scientist, LLM Evaluation & Post-Training

Innodata Inc.
Toronto, ON

Quick apply

Job details

Fixed term contract
5 hours ago

Skills

TensorFlow
Law
Doctoral degree
Computer Science
PyTorch
Master's degree
Statistical analysis
AI
Model evaluation
Communication skills
Python

Full job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

Innodata is expanding its GenAI research capability to advance state-of-the-art evaluation and post-training methods for LLM and multimodal systems. As an Applied Research Scientist, LLM Evaluation & Post-Training, you will lead research and experimentation on how evaluation design, measurement strategies, and feedback signals influence model improvement.

This role is ideal for a technically rigorous researcher who is deeply fluent in modern LLM evaluation and post-training, and who can turn research insight into practical methods for customer solutions and internal platform innovation. You will work across human-in-the-loop and AI-augmented workflows, partnering with Language Data Scientists and AI/ML Research Engineers to design and validate evaluation frameworks that drive measurable model gains.

The ideal candidate combines strong experimental and statistical judgment with hands-on technical ability and can engage as a peer with research and engineering stakeholders at leading AI companies.

What You'll Own:

As an Applied Research Scientist, LLM Evaluation & Post-Training, you will help define the next generation of evaluation-driven model improvement workflows. You will study how different evaluation approaches (human, automated, hybrid) shape model selection and post-training outcomes, and you will design experiments that produce credible, actionable conclusions.

Your work may include designing benchmark datasets, developing evaluation taxonomies and protocols, defining metrics and scoring methodologies, analyzing failure modes, and testing how changes in evaluation setup affect downstream fine-tuning results. You will also support customer engagements by bringing scientific rigor to evaluation strategy, methodology review, and technical recommendations.

This is a highly collaborative role that sits at the intersection of research, engineering, and language/data operations. Additional responsibilities include (but are not limited to):

Define and execute a research agenda focused on LLM evaluation and post-training, especially evaluation-driven model improvement
Design rigorous experiments to study how evaluation methodologies impact fine-tuning and post-training outcomes
Develop and validate evaluation frameworks for LLM and multimodal systems, including:
- benchmark/task design
- scoring methods
- judge/model-assisted evaluation
- human evaluation protocols
- robustness/stress testing
Lead research on advanced evaluation domains, including long-context, cross-modal, and dynamic multi-turn evaluations
Study the effectiveness and limitations of existing evaluation techniques, and propose improved methodologies with clear validity and scalability tradeoffs
Analyze model behavior and failure patterns; generate actionable recommendations for model improvement and evaluation redesign
Collaborate with AI/ML Research Engineers to translate research methods into scalable evaluation and post-training pipelines
Collaborate with Language Data Scientists to integrate human-in-the-loop and synthetic data/evaluation strategies into research programs
Engage with customer technical stakeholders to understand evaluation goals, review methodologies, and provide expert recommendations
Contribute to internal benchmark datasets, evaluation frameworks, and reusable research assets
Produce high-quality technical documentation, internal research reports, and client-facing materials explaining methods, results, assumptions, and limitations
Contribute to thought leadership and best practices in LLM evaluation, post-training, and GenAI quality measurement

You'll Thrive in This Role If You Have:

MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, AI, or a related quantitative scientific field (PhD strongly preferred)
5+ years of relevant experience in applied research / research science in ML/AI, with substantial work in LLMs or foundation models
Demonstrated experience with LLM evaluation, benchmarking, alignment, post-training, or model quality research
Strong foundation in experimental design, statistical analysis, and scientific reasoning for ML systems
Strong coding skills in Python for research experimentation and analysis (e.g., data processing, evaluation pipelines, statistical analysis, visualization)
Experience working with modern ML tooling/frameworks (e.g., PyTorch, Hugging Face, JAX/TensorFlow as applicable) sufficient to design and execute model/evaluation experiments
Ability to evaluate and compare human and automated evaluation methods, including tradeoffs in cost, reliability, validity, and scalability
Experience designing evaluation studies and protocols that are reproducible across datasets, model versions, and evaluation runs
Ability to collaborate directly with technical stakeholders including research scientists, ML engineers, data scientists, and customer technical counterparts
Strong communication skills and ability to present nuanced technical conclusions, assumptions, and limitations clearly

The expected salary range for this position is $245,000 – $315,000 CAD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you've been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

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Refine Your Search

applied scientist jobs in ontario

Applied Research Scientist, LLM Evaluation & Post-Training

Applied Data Scientist, Health AI Evaluation & Datasets

Applied AI Scientist

Applied Scientist, Sales AI

Research And Development Scientist - Geochemistry

Director of Operations - Sunnybrook Research Institute - Regular Full-time 2026-17836

Environmental Risk Assessor

Principal AI Research Scientist Post-Training Alignment

Research Director, Machine Learning

Research Project Manager

Senior Manager, Biology R&D

Senior Consultant (Geology)

Principal Quantum Scientist

Senior Technical Manager, Archaeology

Senior Air Quality Specialist - Infrastructure

Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)

Senior Archaeologist

Principal Consultant (Structural Geology)

Vector Distinguished Postdoctoral Fellow

Senior Consultant (Structural Geology)

Intermediate/Senior Air Project Manager

Geophysicist

Applied Data Scientist, Finance AI Evaluation & Datasets

Associate Manager, Scientific Program Development - Global (18-Month Contract)

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