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Internship German Machine Learning Jobs in Boston, MA

... machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas ...

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Job Type Internship Description You will work with an experienced engineering team working on ... Work in close collaboration with Gentuity's software and machine learning teams, system engineers ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

... machine learning, computer science, or related discipline. * At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning. Other Requirements * Research Interns ...

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Internship German Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Aug 9, 2026, the average yearly pay for internship german machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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.

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?

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.
What are popular job titles related to Internship German Machine Learning jobs in Boston, MA? For Internship German Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Internship German Machine Learning jobs? Cities near Boston, MA with the most Internship German Machine Learning job openings:
Infographic showing various Internship German Machine Learning job openings in Boston, MA 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 $46,263 per year, or $22.2 per hour.

Internship - Foundation Models for Humanoid Robots

Mitsubishi Electric Research Laboratories

Cambridge, MA

Internship

Posted yesterday

New


Job description

MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.

Required Specific Experience

  • Current enrollment in a Ph.D. program in Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.
  • Hands-on research experience with Vision-Language-Action (VLA) models and/or multimodal foundation models for robotics.
  • Research experience with world models for robotic planning, prediction, or decision making.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo.).
  • Strong publication record or demonstrated research potential in robotics, embodied AI, computer vision, or machine learning. Must have some publications in top robotic or AI conferences / journals (e.g., RSS, ICRA, T-RO, RA-L, NeurIPS, ICML etc).

Desired Experience

  • Contact-rich manipulation and force-controlled manipulation.
  • Whole-body control for humanoid robots.
  • Dexterous manipulation or bimanual manipulation.
  • Reinforcement learning or imitation learning for robotics.
  • Robot perception, 3D vision, or state estimation.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo).
  • Experience deploying algorithms on humanoid platforms.

The pay range for this internship position will be 6-8K per month.