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Trainee Process Engineer Jobs in Novi, MI (NOW HIRING)

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... process, feel free to contact our Talent Attraction team. Worker Type: Intern (Fixed Term) (Trainee ...

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Trainee Process Engineer information

See Novi, MI salary details

$46.4K

$86.3K

$133.7K

How much do trainee process engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee process engineer in Novi, MI is $86,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $96,600.00 per year, depending on experience, location, and employer.

What does a trainee process engineer do?

A Trainee Process Engineer assists in designing, implementing, and optimizing industrial processes within manufacturing or production environments. They work under the supervision of senior engineers to learn about process flow, equipment operation, data analysis, and safety protocols. Their responsibilities often include collecting process data, helping to troubleshoot issues, and supporting continuous improvement initiatives. This role provides hands-on training and practical experience to prepare for more advanced engineering positions.

What are the typical responsibilities of a trainee process engineer during their first year on the job?

In their first year, a Trainee Process Engineer typically supports senior engineers by collecting and analyzing process data, assisting in troubleshooting production issues, and participating in process improvement projects. They often spend time shadowing experienced team members to learn about equipment, safety procedures, and industry regulations. Additionally, trainees may be involved in drafting technical documentation and collaborating with cross-functional teams such as maintenance, quality, and operations. This hands-on experience helps build foundational knowledge and prepares them for increased responsibilities as they progress.

What are the key skills and qualifications needed to thrive as a trainee process engineer, and why are they important?

To thrive as a Trainee Process Engineer, you need a solid educational background in chemical, mechanical, or process engineering, often with a relevant degree. Familiarity with process simulation software (such as Aspen HYSYS or MATLAB), safety protocols, and data analysis tools is typically required. Strong problem-solving, attention to detail, and effective teamwork skills help distinguish successful candidates in this role. These competencies ensure process efficiency, safety compliance, and collaborative project execution within industrial environments.

What is the difference between Trainee Process Engineer vs Process Engineer?

AspectTrainee Process EngineerProcess Engineer
QualificationsTypically a bachelor's degree in chemical, mechanical, or industrial engineering; some internships or entry-level experienceBachelor's degree required; often with 1-3 years of experience or professional certification
Work EnvironmentTraining programs, supervised tasks, learning-focusedIndependent project work, process optimization, operational responsibilities
Employer & Industry UsageEntry-level roles in manufacturing, chemical, or oil & gas industriesMid-level roles in similar industries, responsible for process improvements

The main difference between a Trainee Process Engineer and a Process Engineer lies in experience and responsibility. Trainee Process Engineers are in training, focusing on learning and supporting tasks, while Process Engineers are responsible for designing, optimizing, and managing processes independently.

What are the most commonly searched types of Process Engineer jobs in Novi, MI?

The most popular types of Process Engineer jobs in Novi, MI are:

Infographic showing various Trainee Process Engineer job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,330 per year, or $41.5 per hour.

Robotics AI Algorithm- R&D Summer 2026

Magna

Troy, MI • On-site

Full-time

Re-posted 14 days ago


Job description

Job descriptions may display in multiple languagesbased 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