PhD Research Internship – Robotics Engineer (VLM / VLA Models)
Sensmore
Seniority
Junior
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
We are seeking a highly motivated PhD candidate to join our team as a Research Intern specializing in General Purpose AI, with a focus on Vision-Language Models and Vision-Language-Action systems. This role sits at the frontier of industrial robotics: developing scalable, general-purpose VLA systems that enable robots to perceive, reason, and act autonomously in complex heavy-industry environments.
What you'll do
- Design and develop novel approaches for Vision-Language-Action systems in real-world industrial settings
- Lead the design and analysis of large-scale multi-modal datasets (video, radar, lidar, sensor fusion)
- Build, adapt, and extend cutting-edge GenAI models (e.g., VLMs, VLA frameworks)
- Design rigorous evaluation protocols for embodied AI systems in industrial contexts
- Collaborate with engineering teams to transition research prototypes into production-ready systems
- Document findings and contribute to research publications, technical reports, or patents
What you'll need
- Current enrollment in a PhD program in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field
- Strong programming skills in Python and deep learning frameworks (e.g., PyTorch)
- Solid understanding of machine learning, deep learning, and multi-modal models
- Proven ability to conduct independent research and drive projects from idea to results
- Strong analytical thinking and problem-solving skills
Nice to have
- Experience with Vision-Language Models, embodied AI, or robotics learning systems
- Familiarity with modern GenAI tooling (e.g., Hugging Face ecosystem, Gemini, Unsloth, or similar)
- Track record of research output (publications, preprints, or significant research projects)
What they offer
- Attractive compensation package and stock options
- Beverages on-site and regular social events
- Assistance with relocation to Berlin
- Opportunity to publish and contribute to the scientific community

