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Internship German Machine Learning Jobs (NOW HIRING)

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Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

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

As of Jun 1, 2026, the average yearly pay for internship german machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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What cities are hiring for Internship German Machine Learning jobs? Cities with the most Internship German Machine Learning job openings:
What states have the most Internship German Machine Learning jobs? States with the most job openings for Internship German Machine Learning jobs include:
What job categories do people searching Internship German Machine Learning jobs look for? The top searched job categories for Internship German Machine Learning jobs are:
Internship German Machine Learning jobs near you
Infographic showing various Internship German Machine Learning job openings in the United States as of May 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Intern, Machine Learning

Output Biosciences

San Francisco, CA • On-site

$3.50K - $11.50K/mo

Full-time

Medical, Dental, Vision

Posted 24 days ago

Job description

Research Intern (PhD), Machine Learning

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible.

Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.

Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.

  • You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation

  • You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets

  • You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery

  • You will present your research findings and contribute to publications in top-tier conferences and journals

  • You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology

Who We're Looking For

  • You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field

  • You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow

  • You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues

  • You are proficient in Python and have experience with large-scale data processing and analysis

  • You have excellent problem-solving skills and the ability to work independently on complex research problems

  • You are passionate about applying AI to solve real-world challenges in biology and medicine

  • You have strong communication skills and can effectively present technical concepts to diverse audiences

  • You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field

Bonus Points

  • Experience with biological data analysis or computational biology projects

  • Familiarity with generative AI models, such as transformers or diffusion models

  • Contributions to open-source machine learning or bioinformatics projects

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer

  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage