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PhD Research Internship – Robotics Engineer (VLM / VLA Models)(m/w/x)

Berlin, Potsdam
Full-timeInternshipOn-site
AI/ML

Designing and developing Vision-Language-Action systems for autonomous mining and construction machines. PhD program enrollment in Robotics, CS, ML, or EE required. Relocation assistance, stock options, and regular social events.

Requirements

  • PhD program enrollment in Robotics, CS, ML, EE, or related
  • Strong Python and deep learning framework programming
  • Solid ML, deep learning, multi-modal model understanding
  • Independent research and project drive ability
  • Strong analytical and problem-solving skills
  • Experience with Vision-Language Models, embodied AI, robotics learning
  • Familiarity with GenAI tooling (Hugging Face, Gemini, Unsloth)
  • Experience with multi-modal data (vision + sensor fusion)
  • Background in robotics, control systems, or real-world deployment
  • Research output track record (publications, preprints)
  • Experience with large-scale training, distributed systems, optimization

Tasks

  • Design and develop Vision-Language-Action systems for industrial settings
  • Explore scalable architectures for multi-modal reasoning and action generation
  • Advance state-of-the-art methods in embodied AI and robotic autonomy
  • Lead the design and analysis of large-scale multi-modal datasets
  • Develop self-supervised or weakly supervised dataset generation pipelines
  • Investigate data-centric approaches to improve robustness and generalization
  • Build, adapt, and extend cutting-edge GenAI models
  • Apply advanced fine-tuning strategies for parameter-efficient tuning
  • Explore prompt optimization, reasoning augmentation, and action grounding
  • Design rigorous evaluation protocols for embodied AI systems
  • Run large-scale experiments, analyze performance, and iterate systematically
  • Benchmark models against state-of-the-art approaches and internal baselines
  • Collaborate with engineering teams to transition research prototypes into production
  • Optimize models for real-time inference, robustness, and safety
  • Document findings and contribute to research publications
  • Present results internally and at leading conferences
  • Build physical AI for off-highway machinery
  • Combine cutting-edge robotics research with real-world heavy mobile equipment
  • Tailor your career path as a technical specialist or team lead
  • Influence the future of robotic technologies and tackle significant challenges

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • Hugging Face ecosystem
  • Gemini
  • Unsloth

Benefits

Competitive Pay

  • Attractive compensation package
  • Stock options

Snacks & Drinks

  • Beverages on-site

Team Events

  • Regular social events

Other Benefits

  • Relocation assistance
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