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Internship German Machine Learning Jobs in Wellesley, MA

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

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 ...

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 ...

Showing results 41-60

Internship German Machine Learning information

See Wellesley, MA salary details

$28K

$46.7K

$96.5K

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

As of Aug 18, 2026, the average yearly pay for internship german machine learning in Wellesley, MA is $46,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,500.00 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 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 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 job categories do people searching Internship German Machine Learning jobs in Wellesley, MA look for?

The top searched job categories for Internship German Machine Learning jobs in Wellesley, MA are:

What cities near Wellesley, MA are hiring for Internship German Machine Learning jobs?

Cities near Wellesley, MA with the most Internship German Machine Learning job openings:

Infographic showing various Internship German Machine Learning job openings in Wellesley, MA as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, 4% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,710 per year, or $22.5 per hour.

AI Research Scientist I

1910

Boston, MA

Full-time

Re-posted 24 days ago


Job description

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.  

Role Description 

  • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline 
  • Apply productized AI and Machine Learning models to advance 1910's active drug design campaignswith the support of senior members of the AI Research Team  
  • Write and publish peer reviewed scientific articleswith the support of senior members of the AI Research Team 
  • Periodically presenting recent AI research at internal journal clubs 
  • Learn how a molecule processes through the drug discovery process 
  • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  
  • Keep up-to-date on cutting-edge research in the AI for drug discovery space 

Qualifications 

  • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
  • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
  • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories. 
  • Familiarity with MLOps and DevOps best practices 
  • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.) 
  • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 
  • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

Nice to Haves 

  • An understanding of how a molecule progresses through the drug discovery process 
  • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) 

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