Toronto, On Applied mathematics Jobs – 41 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
6d
Sr. Full Stack Data Science Engineer
TD Bank —Toronto, ON
- $154,000–$199,500 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Senior Data Scientist
Index Exchange —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Research
- Commuter benefits
- Dental care
Data Scientist, Advanced Analytics & Commercial Effectiveness
Alexion Pharmaceuticals,Inc. —Mississauga, ON
- $134,708.00–$176,804.25 a year
- Temporary
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
Enterprise AI Engineer
Porter Airlines Inc. —Toronto, ON
- Full-time
- Computer Science
- SQL
- Analysis skills
7d
Senior Data Scientist (I & II)
Instacart —Toronto, ON
- $161,000–$202,500 a year
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick apply
Senior Data Scientist
EvenUp —Toronto, ON
- $154,907–$246,445 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
- Designated paid holidays
- Disability insurance
Quick apply
Senior Data Scientist
Flinks —Toronto, ON
- $120,000–$160,000 a year
- Remote
- Azure
- Doctoral degree
- Computer Science
- Dental care
- Paid time off
Quick apply
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Block, Inc. —Toronto, ON
- Overtime
- Remote
- Doctoral degree
- Computer Science
- Research
- Paid time off
Senior Applied Researcher
eBay Inc. —Toronto, ON
- Full-time
- Computer science
- Doctoral degree
- Computer Science
AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc. —Toronto, ON
- $110,000–$240,000 a year
- Remote
- Computer science
- Doctoral degree
- Computer Science
Quick apply
6d
Senior Data Scientist II - Core Delivery
Instacart —Toronto, ON
- $192,000–$202,500 a year
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick apply
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Principal Data Scientist
BMO Financial Group —Toronto, ON
- $103,200–$192,000 a year
- Full-time
- Azure
- Doctoral degree
- AWS
- Tuition reimbursement
- Life insurance
Vehicle Motion Control AI/ML Platform Design Engineer
General Motors —Markham, ON
- $90,900–$136,400 a year
- Full-time
- Doctoral degree
- Engineering
- Data analysis skills
- Designated paid holidays
- Dental care
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group —Toronto, ON
- $200,000–$250,000 a year
- Azure
- Management
- Doctoral degree
Principal Data Science
BHP —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Oracle
- Relocation assistance
- Work from home
6d
Senior Data Scientist - Operation Research
Tiger Analytics Inc. —Toronto, ON
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Data analysis skills
Quick apply
Lead Data Scientist
Techblocks —Vaughan, ON
- Azure
- Doctoral degree
- Engineering
Quick apply
10d
Data Science Manager, Rider Experience
Lyft —Toronto, ON
- $172,000–$215,000 a year
- Hybrid work
- Management
- Doctoral degree
- Computer Science
- Commuter benefits
- Dental care

I want to receive the latest job alerts for applied mathematics in toronto, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

applied mathematics jobs near toronto, on

Applied Scientist jobs in Toronto, ON

Senior Data Scientist jobs in Toronto, ON

Lead Machine Learning Engineer jobs in Toronto, ON

Data Scientist jobs in Mississauga, ON

Principal Data Scientist jobs in Toronto, ON

Research Intern jobs in Toronto, ON

Data Scientist jobs in Toronto, ON

Full Stack Developer jobs in Toronto, ON

Ai Ml Engineer jobs in Toronto, ON

Data Science Manager jobs in Toronto, ON

Ai Developer jobs in Toronto, ON

Applied Scientist jobs in Vancouver, BC

Applied Scientist jobs in Montréal, QC

Clinical Scientist jobs in Ontario

Data Scientist jobs in Brampton, ON

Data Scientist, Data Science, Data Analyst jobs in Regina, SK

Data Entry jobs in Montréal, QC

Senior Data Scientist jobs in Mont Royal, QC

Canadian Tire, Senior Graphic Designer jobs in Toronto, ON

Senior Data Scientist jobs in Oakville, ON

Applied Research Scientist, LLM Evaluation & Post-Training

Innodata Inc. -
Toronto, ON

Quick apply

Job details

Fixed term contract
$245,000–$315,000 a year
6 days ago

Qualifications

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.

Quick apply

Refine Your Search

applied mathematics jobs in toronto, on

Applied Research Scientist, LLM Evaluation & Post-Training

Sr. Full Stack Data Science Engineer

Senior Data Scientist

Data Scientist, Advanced Analytics & Commercial Effectiveness

Enterprise AI Engineer

Senior Data Scientist (I & II)

Senior Data Scientist

Senior Data Scientist

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Senior Applied Researcher

AI/ML Research Engineer, LLM Post-Training & Evaluation

Senior Data Scientist II - Core Delivery

Principal Data Scientist-Gen AI, Machine Learning (10042)

Principal Data Scientist

Vehicle Motion Control AI/ML Platform Design Engineer

Lead Machine Learning Engineer - AI Innovation Teams

Principal Data Science

Senior Data Scientist - Operation Research

Lead Data Scientist

Data Science Manager, Rider Experience

I want to receive the latest job alerts for applied mathematics in toronto, on

Related Searches

Explore jobs in more locations

Job seeker tools

Employer Tools

Browse

Stay Connected