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Internship Mechanical Engineering Machine Learning Jobs in Illinois

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at a scale for millions of Paylocity users. As a ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

Top 3-5 Skills - Strong engineering foundation. - Ability to understand the problem. - Ability to ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

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Internship Mechanical Engineering Machine Learning information

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Illinois?

The most popular types of Mechanical Engineering Machine Learning jobs in Illinois are:

What are popular job titles related to Internship Mechanical Engineering Machine Learning jobs in Illinois?

For Internship Mechanical Engineering Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Internship Mechanical Engineering Machine Learning jobs in Illinois look for?

The top searched job categories for Internship Mechanical Engineering Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Internship Mechanical Engineering Machine Learning jobs?

Cities in Illinois with the most Internship Mechanical Engineering Machine Learning job openings:

Machine Learning Engineer

Manteno, IL • On-site

Gotion, Inc.
Manufacturing • 1 - 10 employees

Full-time

Re-posted 16 days ago


Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.