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Internship German Machine Learning Jobs in Inkster, MI

Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI · On-site

$110K - $188K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI · On-site

$110K - $188K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI · On-site

$91K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI · On-site

$91K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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)

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)

Senior Software Architect

Auburn Hills, MI · On-site

$122K - $166K/yr

... or Machine Learning Models • Mobile Applications Development (i.e. Android, iPhone) • ... Ability to speak German desired • PhD Engineering desired Company : Loc Performance ...

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)

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Internship German Machine Learning information

See Inkster, MI salary details

$23.9K

$39.9K

$82.4K

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

As of Jul 15, 2026, the average yearly pay for internship german machine learning in Inkster, MI is $39,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Jobs that require complex human skills such as machine learning engineers, data scientists, and cybersecurity specialists are likely to persist as AI automates routine tasks. These roles demand critical thinking, creativity, and specialized knowledge that are difficult for AI to replicate fully. Continuous learning and expertise in AI tools can enhance job security in these fields.

What is an Internship German Machine Learning?

An Internship German Machine Learning is a temporary training position typically offered by companies or research institutions in Germany, focusing on practical experience in machine learning. Interns work on real-world projects involving data analysis, algorithm development, and model implementation under supervision. These internships help students or recent graduates gain hands-on skills, industry exposure, and networking opportunities in the rapidly growing field of artificial intelligence and machine learning.

What is the difference between Internship German Machine Learning vs Data Scientist German?

AspectInternship German Machine LearningData Scientist German
Required CredentialsBasic programming, coursework in MLAdvanced degree in data science, statistics, or related
Work EnvironmentInternship setting, learning-focusedFull-time, project-driven
Industry UsageEntry-level roles, training programsProfessional roles, decision-making

Internship German Machine Learning positions are typically entry-level, focusing on learning and skill development, often requiring basic programming and coursework. Data Scientist German roles are more advanced, requiring higher education and experience, with responsibilities in analyzing data and building models. The internship provides a stepping stone into the data science field, while the data scientist role involves applying expertise to solve complex problems.

Can foreigners intern in Germany?

Foreigners can intern in Germany if they meet visa and work authorization requirements, which vary depending on their nationality and the internship duration. Internships often require a valid visa or residence permit, especially for non-EU/EEA citizens, and may need to comply with labor laws and internship regulations. It is important to check specific visa conditions and employer sponsorship options before applying.

How much do ML interns get paid?

Machine Learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python, TensorFlow, or PyTorch and may be full-time or part-time during the summer or semester.

What types of projects can I expect to work on during a German Machine Learning internship?

As a German Machine Learning intern, you'll typically assist with real-world projects such as developing and testing machine learning models, preprocessing datasets, and supporting the implementation of AI solutions in both German and international contexts. You may also help with data analysis, model evaluation, and documentation, often collaborating with data scientists and engineers. These projects provide hands-on experience with industry-standard tools and workflows, helping you build practical skills and a strong professional network.

What are the key skills and qualifications needed to thrive as an Internship German Machine Learning, and why are they important?

To thrive as an Internship German Machine Learning, you need a solid understanding of machine learning concepts, programming skills in Python, and progress toward a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as experience using version control systems like Git, is typically required. Strong analytical thinking, problem-solving ability, and effective communication—especially in both English and German—help you collaborate within diverse teams. These skills and qualifications are essential for successfully contributing to machine learning projects and adapting to the fast-evolving tech industry.

Is AI in demand?

AI skills are highly in demand for machine learning internships, including roles focused on developing and applying artificial intelligence technologies. Companies seek candidates with knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data analysis. The AI industry continues to grow, creating numerous opportunities for interns with relevant skills and training.
What cities near Inkster, MI are hiring for Internship German Machine Learning jobs? Cities near Inkster, MI with the most Internship German Machine Learning job openings:
Advanced Engineering & Research Intern

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI

$20 - $34/hr

Other

Posted 18 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