As a Robotics AI intern, you will develop and evaluate algorithms for robotic manipulation, focusing on AI technologies such as deep learning and reinforcement learning.
Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
POSITION OVERVIEW
This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D
department. The Advanced Robotics team is focused on developing novel technologies that give robots
human-like capabilities in perception and dexterity. The candidate will design, develop and evaluate Task and
Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under
the guidance of a Robotics Software Technical Specialist. Magna's Student Program provides students the
opportunity to gain practical work experience in their area of study related to the automotive industry.
ESSENTIAL DUTIES AND RESPONSIBILITIES:• Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for
our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers,
Natural Language Processing (NLP), Diffusion models, Gen-AI).• Create representative case study to understand solution capabilities and limitations.• Create, modify, and implement the software packages to a practical application.• Develop evaluation criteria to test and evaluate the effectiveness of the systems.• Present technical results and provide recommendations based on the case study.
QUALIFICATIONS:• Comfortable developing, debugging, training, and testing models in deep learning frameworks• Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics
application are strongly preferred.• Strong knowledge of ML, DL theory.• Strong understanding of state-of-the-art AI techniques.• Prior Experience with researching and implementing new Deep Learning architectures.• Prior experience with model training and inference.• Candidates with a good research record with publications are preferred.• Excellent coding abilities in Python, PyTorch/TensorFlow.• Good understanding of Robotics fundamentals.• Curious, Team Player and ability to thrive in collaborative, small team environment.
EDUCATION / EXPERIENCE• Current Graduate student preferably in a PhD program or MS program focused on
researching/implementing Artificial Intelligence, Machine Learning, Generative AI based solutions for
Robotics applications.
PHYSICAL DEMANDS / WORK ENVIRONMENT:• Normal amount of sitting or standing, average mobility to move around an office (Troy, MI)
environment, able to conduct a normal amount of work at a computer
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Intern (Fixed Term) (Trainee)
Group:
Magna Corporate
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
POSITION OVERVIEW
This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D
department. The Advanced Robotics team is focused on developing novel technologies that give robots
human-like capabilities in perception and dexterity. The candidate will design, develop and evaluate Task and
Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under
the guidance of a Robotics Software Technical Specialist. Magna's Student Program provides students the
opportunity to gain practical work experience in their area of study related to the automotive industry.
ESSENTIAL DUTIES AND RESPONSIBILITIES:• Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for
our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers,
Natural Language Processing (NLP), Diffusion models, Gen-AI).• Create representative case study to understand solution capabilities and limitations.• Create, modify, and implement the software packages to a practical application.• Develop evaluation criteria to test and evaluate the effectiveness of the systems.• Present technical results and provide recommendations based on the case study.
QUALIFICATIONS:• Comfortable developing, debugging, training, and testing models in deep learning frameworks• Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics
application are strongly preferred.• Strong knowledge of ML, DL theory.• Strong understanding of state-of-the-art AI techniques.• Prior Experience with researching and implementing new Deep Learning architectures.• Prior experience with model training and inference.• Candidates with a good research record with publications are preferred.• Excellent coding abilities in Python, PyTorch/TensorFlow.• Good understanding of Robotics fundamentals.• Curious, Team Player and ability to thrive in collaborative, small team environment.
EDUCATION / EXPERIENCE• Current Graduate student preferably in a PhD program or MS program focused on
researching/implementing Artificial Intelligence, Machine Learning, Generative AI based solutions for
Robotics applications.
PHYSICAL DEMANDS / WORK ENVIRONMENT:• Normal amount of sitting or standing, average mobility to move around an office (Troy, MI)
environment, able to conduct a normal amount of work at a computer
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Intern (Fixed Term) (Trainee)
Group:
Magna Corporate
Similar Jobs at Magna International
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Responsible for staffing, performance management, training and employee relations, ensuring quality work life, and compliance with company policies.
Top Skills:
MS OfficeWorkday
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The Technical Warranty Manager oversees warranty systems engineering, resolving technical claims, leading investigations, and improving product quality through data analysis and collaboration.
Top Skills:
Iatf Quality StandardsMS OfficeMinitabRedxSix SigmaStatistical Tools
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The Manufacturing Engineer Manager leads engineering teams to optimize processes, improve efficiency, and manage production quality, utilizing Lean and Six Sigma methods while collaborating across departments.
Top Skills:
ExcelLean ManufacturingMicrosoft Office (WordPowerPointProject)Six Sigma
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
