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Physics Informed Machine Learning Jobs in Quebec

Autodesk

Senior Applied AI/ML Developer

Montreal, QC

... Machine Learning Minimum Qualifications * MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years ...

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

TouchTunes

Senior Data Scientist

Montreal, QC · On-site

Apply statistical or machine learning knowledge to specific business problems and data. * Develop ... Staying informed about developments in Data Science and adjacent fields to ensure that outputs are ...

Intact Financial

Manager, Data Science

Montreal, QC · Hybrid

Data science enthusiasts with a background in a related field, including (but not limited to): machine learning, computer science, software engineering, physics, actuarial science, mathematics or ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

... that drive informed decisionmaking. * ML/AI Lifecycle Familiarity : Experience working with ... Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ...

Alcoa

Senior AI & Data Scientist

Montreal, QC · Hybrid

... machine learning and generative AI solutions, including predictive, RAG and agentic AI use cases. * Apply rigorous experimentation, model evaluation and data analysis to drive informed decision ...

CMHC - SCHL

... machine learning and deep learning techniques. * Work with the Analytics team to support the ... Physics or any other related quantitative field. Master's degree is preferred. * A minimum of 3 ...

New

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

... informed decisions. Your insights will optimize content strategies, audience engagement, ad ... Experience with machine learning applications in content optimization. * Degree in Data Science ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Quebec?

For Physics Informed Machine Learning jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Quebec look for?

The top searched job categories for Physics Informed Machine Learning jobs in Quebec are:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Applied Machine Learning Scientist II (ATH # 5215)

Montreal, QC • On-site

Td
See more jobs at Tdexternal

CA$125K - CA$154K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Validate, review, and test Generative AI and Deep Learning models, providing effective challenge and assessment.

  • Conduct research and development in Generative AI, Agentic AI, and Large Language Model evaluation, testing, and explainability.

  • Communicate findings and recommendations to technical and non-technical stakeholders.

Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$125,500 - $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation 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 designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

*Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

*Job Description

The position reports to SeniorApplied Machine Learning Scientist(Generative AI),inthe AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep Learning models.

Detailed accountabilities include:

  • Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI and Deep Learning models.

  • Conduct R&Din the area ofGenAI / Agentic AI / LLM evaluation, testing, explainability.

  • Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets.

  • Maintain full professional knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.

  • Develop/implement AI/ML model validation methodologies and standards. Ensure that the validation methodologies and standards are in line withindustrybest practices and address regulatory and audit requirements.

  • Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.

  • Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners suchas AI2, Layer6, P&T, and FCRM.

*Job Requirements

  • Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning, engineering, statistics, mathematics, or physics.

  • Proven experience as Generative AI Scientist, Machine Leaning Scientist, or a similar role.

  • Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision.

  • Experience with and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models

  • Experience with Deep Learning and Generative AI technology stacks and libraries such asPyTorch,LangChain,HuggingFace,PromptFlow, etc.

  • Motivated to stay up to date with the latest advancements in Generative AI, Prompt Engineering, Machine Learning, and Cloud technologies.

  • Proficient in scripting/programming language-Python.

  • Familiarity with cloud platforms (e.g., Azure, AWS).

  • Familiarity with Data Structures, Algorithm design, and principles of Object-Oriented Programming (OOP).

  • Knowledge of machine learning explain-ability/interpretability algorithms.

  • Excellent verbal and written communication skills. The position requires writing clean technical reports.

* Nice to have qualifications

  • Publications in the relevant conference and journalsisa plus.

  • Ability to implement AI/ML algorithms from academic research papers is a plus.

  • Knowledge of SQL and database systems.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Ce poste n'exige pas la maitrise d'une langue autre que le francais.

Apply