Train, optimize, and deploy machine learning models on edge computing platforms (e.g., NVIDIA ... Coursework, projects, or internships involving physical experimentation, lab instrumentation, or ...
Train, optimize, and deploy machine learning models on edge computing platforms (e.g., NVIDIA ... Coursework, projects, or internships involving physical experimentation, lab instrumentation, or ...
Google DialogFlow Engineer (Python)
Toronto, ON · On-site +1
Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
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Google DialogFlow Engineer (Python)
Toronto, ON · On-site +1
Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...
User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software ... post internship * Demonstrated expertise in the area of interactive technologies, with peer ...
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Sr. Security Researcher - Toronto, ON
Toronto, ON · On-site +1
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Sr. Security Researcher - Toronto, ON
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This internship provides an opportunity to develop practical skills in full stack development and ... Exposure to AI applications, LLM APIs, or machine learning projects. * Contributions to open-source ...
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R&D Lab Support Co-op
Mississauga, ON · On-site
Co-op/Internship Duration : 8 months + Department : Research & Development (R&D) Start Date: ASAP ... including machine learning, edge-computing and data fusion, with focus on making this world a ...
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R&D Lab Support Co-op
Mississauga, ON · On-site
Co-op/Internship Duration : 8 months + Department : Research & Development (R&D) Start Date: ASAP ... including machine learning, edge-computing and data fusion, with focus on making this world a ...
Share knowledge with interns, data scientist and other software developer to grow, as a team. What ... Experience with machine learning and scientific computing libraries such as scikit-learn, NumPy ...
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Associate AI Engineer
Toronto, ON · Hybrid
CA$60K - CA$80K/yr
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Software Development Intern
Toronto, ON · Hybrid
CA$23 - CA$25/hr
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Toronto, ON · Hybrid
CA$23 - CA$25/hr
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Research Scientist, Neural Reconstruction
Toronto, ON · On-site +1
CA$155K - CA$269K/yr
... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...
Research Scientist, Neural Reconstruction
Toronto, ON · On-site +1
CA$155K - CA$269K/yr
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Looking to get the most out of your upcoming internship? The Project Information Management group ... Intelligence/Machine Learning opportunities. * Deployment & implementation of our Common Data ...
Looking to get the most out of your upcoming internship? The Project Information Management group ... Intelligence/Machine Learning opportunities. * Deployment & implementation of our Common Data ...
Looking to get the most out of your upcoming internship? The Project Information Management group ... Intelligence/Machine Learning opportunities. * Deployment & implementation of our Common Data ...
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Toronto, ON · On-site
CA$68K - CA$80K/yr
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Analyst, Business Management - Equity Research
Toronto, ON · On-site
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Analyst, Business Management - Equity Research
Toronto, ON · On-site
CA$68K - CA$80K/yr
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Analyst, Business Management - Equity Research
Toronto, ON · On-site
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Research Scientist, World Models
Toronto, ON · On-site +1
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Research Scientist, World Models
Toronto, ON · On-site +1
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... learning SunSource products and systems used in Heavy Duty Mobile Equipment, including machines for ... internship and/or equivalent combination of education and experience * Desire to build a career in ...
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Internship beginning as soon as possible, extending 12 to 16 months. At Gerdau our employees are ... This program is for individuals with high learning agility and willingness to adapt and develop ...
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Intern, AppOps - Fraud
Toronto, ON · Hybrid
CA$23 - CA$25/hr
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Intern, AppOps - Fraud
Toronto, ON · Hybrid
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... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...
Quick apply
... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...
Internship Machine Learning information
What is the difference between Internship Machine Learning vs Data Science Intern?
| Aspect | Internship Machine Learning | Data Science Intern |
|---|---|---|
| Required Credentials | Basic programming, introductory ML knowledge | Statistics, programming, data analysis basics |
| Work Environment | Hands-on ML model development, coding | Data analysis, visualization, reporting |
| Industry Usage | Tech, AI companies, research labs | Business, finance, healthcare sectors |
Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.
What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?
What are internship machine learning positions?
What types of projects can I expect to work on during a Machine Learning internship?

Autodesk rating
9.5
Based on 5 frontline employees who took The Breakroom Quiz
6th of 202 rated software companies
Job description
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
As an Associate Researcher, Design and Manufacturing on the Industry Futures team at Autodesk Research, you will be doing applied research that bridges the digital and physical worlds. Our team works at the intersection of manufacturing and AEC, imagining how AI-driven physical processes could reshape the way things are made -- and getting our hands dirty to test those ideas through real-world experimentation.
In this role, you will design and execute physical experiments in manufacturing settings, build data pipelines from sensor and equipment data, and develop and deploy machine learning models on edge devices in factory environments. You will work hands-on with manufacturing equipment, instrumentation, and embedded systems while applying rigorous computer science and data science methodology. This role is ideal for someone early in their career who has a strong foundation in computer science and a genuine passion for manufacturing and the physical world.
This role will report to a Research Manager on the Industry Futures team.
Given the physical experimentation component of the work, you will be expected to work on-site at Autodesk's Toronto office 4x/week.
This is a 1 year contract position.
Responsibilities
Design, instrument, and execute physical experiments in manufacturing environments to generate structured, high-quality datasets
Develop data acquisition and processing pipelines for sensor data, machine telemetry, images, and other physical-world signals
Train, optimize, and deploy machine learning models on edge computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, industrial PLCs) in manufacturing settings
Collaborate with manufacturing partners and internal research teams to identify high-impact problems and translate them into well-scoped experiments
Analyze experimental results and communicate findings to researchers, engineers, and leadership through clear visualizations and written reports
Contribute to the development of research prototypes that demonstrate new AI-driven manufacturing capabilities
Stay current with advances in edge AI, IoT, manufacturing informatics, and applied ML
Write robust, testable code that is well documented and easy to understand
Minimum Qualifications
Recently completed a Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mechatronics, or a related field
Hands-on experience with Python and at least one ML framework (PyTorch, TensorFlow, or scikit-learn)
Comfort working with hardware, sensors, and physical experimental setups -- not just software
Basic understanding of data acquisition from physical systems (e.g., sensors, cameras, serial protocols, APIs)
Strong analytical and problem-solving skills with an ability to work through ambiguity
Excellent written communication skills to document experiments, code, and findings
Willingness to work in manufacturing or lab environments (not exclusively remote desk work)
Preferred Qualifications
Experience deploying ML models on edge or embedded devices (NVIDIA Jetson, Coral, microcontrollers, or similar)
Familiarity with manufacturing processes (CNC machining, additive manufacturing, injection molding, robotics, assembly, or quality inspection)
Experience with computer vision (object detection, defect classification, pose estimation)
Knowledge of IoT protocols and frameworks (MQTT, OPC-UA, ROS)
Experience with cloud services and architectures (AWS, Azure) for data storage and model training
Coursework, projects, or internships involving physical experimentation, lab instrumentation, or hardware-software integration
Knowledge of the design, manufacturing, AEC, or media and entertainment industries
Experience with Autodesk products (Fusion, AutoCAD, Inventor, or similar)
The Ideal Candidate
A curious builder who is equally comfortable writing Python as they are troubleshooting a sensor on a shop floor
A self-starter with the initiative to learn unfamiliar domains -- you don't need to be a manufacturing expert yet, but you want to become one
A creative, hands-on problem-solver who thrives in ambiguous, newly forming research areas
A strong communicator who can translate between the worlds of computer science and physical manufacturing
Someone energized by seeing their work run in the real world, not just in a notebook
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 -- our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits by visiting https://benefits.autodesk.com/
Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Autodesk has always valued flexibility in how we work. We continue to provide employees flexibility to support their work preferences wherever possible and nearly all roles are hybrid or remote, unless otherwise indicated.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.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