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Bioinformatics Machine Learning Internship Jobs in Detroit, MI

ROUSH

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

ROUSH

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

Orbotech

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

Support AI and machine learning use cases within the Foundry ecosystem. * Collaborate with cross ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

Support AI and machine learning use cases within the Foundry ecosystem. * Collaborate with cross ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Roush

CAE Engineering Intern - Fall 2026

Livonia, MI

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

KLA Corporation

Software Engineering Intern

Ann Arbor, MI · On-site

$32 - $45/hr

Interns will be technically supported and mentored throughout their stay with KLA. * Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products.

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Detroit, MI

Bioinformatics Machine Learning Internship information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do bioinformatics machine learning internship jobs pay per year?

As of Aug 11, 2026, the average yearly pay for bioinformatics machine learning internship in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Detroit, MI? For Bioinformatics Machine Learning Internship jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Detroit, MI look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Detroit, MI with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI

$20 - $34/hr

Internship

Re-posted 16 days ago

Job description

Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.

JOB SUMMARY

Supports advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). Works closely with Isuzu U.S. and Japan teams, well known autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. Works at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance. Performs tasks of increasing complexity throughout the internship.

% of time spenton each activity

             PRINCIPAL DUTIES & RESPONSIBILITIES

30%

1.

Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.

20%

2.

Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.

20%

3.

Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.

20%

4.

Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.

10%

5.

Prepares and communicates technical findings, experiment results, and recommended next steps to teams across the U.S. and Japan.

6.

Performs miscellaneous job-related duties as assigned.

ORGANIZATIONAL RELATIONSHIPS

  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING

  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, Artificial Intelligence/Machine Learning, or a related field
  • Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V is preferred
  • Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)

KNOWLEDGE

  • Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
  • Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems is a plus

SKILLS & ABILITIES

  • Strong analytical, research, and problem-solving skills
  • Proficiency in Python; familiarity with C++, Linux, Git, SQL, or data pipeline tools
  • Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent) is a plus
  • Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
  • Effective communication; ability to work independently and collaboratively across U.S. and Japan teams

PHYSICAL STANDARDS

The employee must be able to access, enter, and retrieve data using a computer.  This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less.  Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs).   Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.

 #ITCA

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