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Deep Learning Intern Jobs in Detroit, MI (NOW HIRING)

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Deep Learning Intern information

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How much do deep learning intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for deep learning intern in Detroit, MI is $15.59, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $17.60 per hour, depending on experience, location, and employer.

What does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are the most commonly searched types of Deep Learning jobs in Detroit, MI?

The most popular types of Deep Learning jobs in Detroit, MI are:

What are popular job titles related to Deep Learning Intern jobs in Detroit, MI?

For Deep Learning Intern jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Deep Learning Intern jobs in Detroit, MI look for?

The top searched job categories for Deep Learning Intern jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Deep Learning Intern jobs?

Cities near Detroit, MI with the most Deep Learning Intern job openings:

Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,080 per year, or $16.9 per hour.

Instructional Systems Designer Internship

Accelint

Ann Arbor, MI • On-site, Remote

$20 - $23/hr

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.
Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding.
Lyntris is seeking a Instructional Systems Designer Intern to support the development, analysis, and continuous improvement of advanced training solutions. This role is ideal for a current student or recent graduate with a background in Technical Writing, Instructional Design, English or a related field who is interested in applying writing and analytical skills to real-world training programs.
This internship will work across both product and program teams, contributing to training science efforts, technical documentation, and instructional content development.
Duties and Responsibilities:
  • Support analysis of training requirements, learning objectives, and course structures.
  • Assist in developing and refining instructional content aligned with instructional system design (ISD) principles.
  • Contribute to technical writing efforts, including documentation, user guides, and training materials.
  • Review and edit training content for clarity, accuracy, and consistency.
  • Participate in courseware analysis and evaluation activities to improve training effectiveness.
  • Collaborate with product teams to support AI-enabled training tools and platforms.
  • Assist in organizing and synthesizing data related to training performance and outcomes.
  • Support proposal and program documentation as needed.
  • Performs other duties as assigned.

Required Qualifications:
  • Bachelor's or master's degree in progress in instructional design, education, human factors, technical writing, English, communications, or a related discipline..
  • Experience in instructional design, content development, training delivery, or an adjacent field.
  • Strong writing, editing, and proofreading skills.
  • Ability to translate complex information into clear, structured content.
  • Familiarity with Microsoft Office (Word, PowerPoint, Excel).
  • Strong attention to detail and organizational skills.
  • Ability to work both independently and within a team environment.
  • Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.

Preferred Skills (Not Required):
  • Exposure to instructional design concepts (e.g., ADDIE or similar frameworks).
  • Interest in training science, learning analytics, or educational technology.
  • Curiosity about AI-enabled tools and modern learning platforms.
  • Strong willingness to learn and adapt in a fast-paced environment.
  • Active-duty military experience or familiarity with military training is preferred.
  • Experience supporting independent or academic research.

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.
EEOC & Know Your Rights
Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
  • Paid Time Off
  • Paid Company Holidays
  • Medical, Dental & Vision Insurance
  • Optional HSA and FSA
  • Base and Voluntary Life Insurance
  • Short Term & Long-Term Disability Insurance
  • 401k Matching
  • Employee Assistance Program

The pay range for this role is:
20 - 23 USD per hour (remote)

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