Conduct original research in developing or applying novel techniques in physics-informed machine learning. * Implement prototypes to test and demonstrate the ideas and methods * Work with both open ...
New
Conduct original research in developing or applying novel techniques in physics-informed machine learning. * Implement prototypes to test and demonstrate the ideas and methods * Work with both open ...
New
Conduct original research in developing or applying novel techniques in physics-informed machine learning. * Implement prototypes to test and demonstrate the ideas and methods * Work with both open ...
New
Conduct original research in developing or applying novel techniques in physics-informed machine learning. * Implement prototypes to test and demonstrate the ideas and methods * Work with both open ...
New
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent Sr. MLE * 6+ years experience as a member of a data science, machine learning engineering ...
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent Sr. MLE * 6+ years experience as a member of a data science, machine learning engineering ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Senior Machine Learning Developer
Toronto, ON · Hybrid
CA$155K - CA$180K/yr
Bachelor's or Master's degree in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc. * 3+ years of experience with demonstrated technical ...
Senior Machine Learning Developer
Toronto, ON · Hybrid
CA$155K - CA$180K/yr
Bachelor's or Master's degree in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc. * 3+ years of experience with demonstrated technical ...
Senior Machine Learning Developer
Toronto, ON · Hybrid
CA$155K - CA$180K/yr
Bachelor's or Master's degree in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc. * 3+ years of experience with demonstrated technical ...
Senior Machine Learning Developer
Toronto, ON · Hybrid
CA$155K - CA$180K/yr
Bachelor's or Master's degree in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc. * 3+ years of experience with demonstrated technical ...
About the Role As a Principal Machine Learning Engineer in Agent Factory, you'll design and build ... Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ...
About the Role As a Principal Machine Learning Engineer in Agent Factory, you'll design and build ... Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ...
A master's or PhD degree in computer science, mathematics, physics, economics or equivalent; * 5+ years of applied machine learning experience as an individual contributor driving projects;
A master's or PhD degree in computer science, mathematics, physics, economics or equivalent; * 5+ years of applied machine learning experience as an individual contributor driving projects;
... machine learning algorithms. * Lead the selection, validation, and optimization of models to ... Stay informed on industry trends, emerging tools, and techniques, applying them to improve data ...
... machine learning algorithms. * Lead the selection, validation, and optimization of models to ... Stay informed on industry trends, emerging tools, and techniques, applying them to improve data ...
CP322F - Machine Learning (Winter 2027)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11176 Position Title: CP322F - Machine Learning Term: Winter 2027 (January 1 - April 30) Days/Times: Tuesday ...
CP322F - Machine Learning (Winter 2027)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11176 Position Title: CP322F - Machine Learning Term: Winter 2027 (January 1 - April 30) Days/Times: Tuesday ...
CP322C - Machine Learning (Fall 2026)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11173 Position Title: CP322C - Machine Learning Term: Fall 2026 (September 1 - December 30) Days/Times: Tuesday ...
CP322C - Machine Learning (Fall 2026)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11173 Position Title: CP322C - Machine Learning Term: Fall 2026 (September 1 - December 30) Days/Times: Tuesday ...
... facilitate informed decision making. You will get the opportunity to work on cutting-edge ... Knowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization ...
... facilitate informed decision making. You will get the opportunity to work on cutting-edge ... Knowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization ...
Senior Manager, Machine Learning
Toronto, ON · On-site
CA$103K - CA$192K/yr
Develops prediction systems and machine learning algorithms. Investigates additional technologies ... and risk informed decisions that align to business strategy, protect assets, and adhere to ...
Senior Manager, Machine Learning
Toronto, ON · On-site
CA$103K - CA$192K/yr
Develops prediction systems and machine learning algorithms. Investigates additional technologies ... and risk informed decisions that align to business strategy, protect assets, and adhere to ...
AI Measurement Architect
Toronto, ON · On-site
Develop active learning and Bayesian optimization routines that navigate high-dimensional parameter spaces for rapid characterization * Implement system identification and physics-informed ML ...
AI Measurement Architect
Toronto, ON · On-site
Develop active learning and Bayesian optimization routines that navigate high-dimensional parameter spaces for rapid characterization * Implement system identification and physics-informed ML ...
Research Engineer II
Toronto, ON · On-site
A master's or PhD degree in computer science, mathematics, physics, economics or equivalent; * 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision ...
Research Engineer II
Toronto, ON · On-site
A master's or PhD degree in computer science, mathematics, physics, economics or equivalent; * 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision ...
MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) * Hands-on experience with machine-learning and statistical ...
MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) * Hands-on experience with machine-learning and statistical ...
Data Scientist - AI Agents & Advanced Analytics
Ottawa, ON · On-site
CA$84K - CA$134K/yr
Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field * Proven experience in a Data Scientist, Machine Learning Engineer ...
Data Scientist - AI Agents & Advanced Analytics
Ottawa, ON · On-site
CA$84K - CA$134K/yr
Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field * Proven experience in a Data Scientist, Machine Learning Engineer ...
Vice President, Data Scientist
CA$120K - CA$150K/yr
... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine learning; experience in capital ...
Vice President, Data Scientist
CA$120K - CA$150K/yr
... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine learning; experience in capital ...
Associate, Data Scientist
CA$90K - CA$120K/yr
... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine learning; experience in capital ...
Associate, Data Scientist
CA$90K - CA$120K/yr
... Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine learning; experience in capital ...
CP414H - Foundations of Computing (Winter 2027)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11196 Position ... Turing machines. The halting problem. Qualifications - Required: Master's degree Qualifications ...
CP414H - Foundations of Computing (Winter 2027)
Waterloo, ON · On-site
CA$10K/mo
Physics and Computer Science Campus: Waterloo Employee Group: WLUFA Requisition ID: 11196 Position ... Turing machines. The halting problem. Qualifications - Required: Master's degree Qualifications ...
Physics Informed Machine Learning information
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 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 is a Physics Informed Machine Learning job?
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 popular job titles related to Physics Informed Machine Learning jobs in Ontario? For Physics Informed Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Ontario look for? The top searched job categories for Physics Informed Machine Learning jobs in Ontario are:
Full-time
Posted 2 days ago
Autodesk rating
9.5
Based on 5 frontline employees who took The Breakroom Quiz
7th of 190 rated software companies
Job description
Job Requisition ID #
Position Overview
The Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2026 at our Toronto office. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.
Responsibilities
Research on energy analysis tools for natural ventilation and their parameterization using CFD simulations.
Conduct original research in developing or applying novel techniques in physics-informed machine learning.
Implement prototypes to test and demonstrate the ideas and methods
Work with both open-source libraries and in-house libraries to develop the prototypes
Write documentation of the work, either as academic publication or internal white paper
Contribute to the technical expertise of the SOS Group by conducting learning sessions
Minimum Qualifications
Currently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplines with a graduation date no earlier than January 2027.
Experience with data-driven methods in simulation
Experience with development of physics simulation tools and numerical solvers
Experience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)
Experience and excellent knowledge of Python
Experience in publishing at top-tier conferences and journals
About the Canada Intern Program
The 2026 Canada program runs for 16 weeks (Sept 1 - Dec 18). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk's Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.
About Autodesk
With Autodesk software, you have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. This is disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyone - from design professionals, engineers and architects to digital scientists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world. http://www.autodesk.com/
About Autodesk Research
Autodesk Research is a team of expert scientists exploring and creating technologies to help improve design and its role in society through high-level customer projects, collaboration with leading research universities worldwide, and publication at world-renowned scientific venues. http://www.autodeskresearch.com/
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
About Autodesk
Sourced by ZipRecruiter
Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.
Industry
Software development
Company size
10,000+ Employees
Headquarters location
San Rafael, CA, US
Year founded
1982