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About Employer:
We are an innovative, pre-seed technology startup developing foundational AI and robotics solutions for complex manipulation. We are pioneering the use of large AI models to enable robots to understand natural language commands and execute sophisticated, goal-oriented actions in dynamic environments.
The Mission:
We are searching for an expert AI Engineer who specializes in the application and fine-tuning of large AI models for robotic control. This role is central to our mission, transforming high-level, human commands into robust, executable robot behaviors using the latest in Vision-Language-Action research.
Responsibilities:
- Model Expertise: Lead the evaluation, adaptation, and fine-tuning of Vision-Language-Action (VLA) Models for robotic manipulation and control.
- Framework Implementation: Deeply utilize frameworks such as NVIDIA Gr00t and related tools to deploy and manage VLA models on robotic platforms.
- Data Pipelines: Design and manage specialized data pipelines for robotics, leveraging large-scale datasets including LeRobot data for model pre-training and fine-tuning.
- Deployment & Integration: Work closely with the Simulation and Robotics teams to integrate trained VLA models into both simulated and physical robot systems.
- Research & Innovation: Stay at the forefront of the Vision-Language-Action domain, proposing and prototyping novel approaches to enhance robot reasoning and generalization capabilities.
Required Qualifications & Skills:
- VLA Model Expertise: Proven experience in training, fine-tuning, and deploying large Vision-Language-Action models or similar large generative models for robotics.
- Core Frameworks: Familiarity with NVIDIA Gr00t or similar integrated robotic learning frameworks (e.g., Deep RL libraries, imitation learning).
- Data Proficiency: Experience working with large-scale robotic datasets, specifically knowledge of or experience with LeRobot data structure and curation.
- Programming & ML: Exceptional proficiency in Python, PyTorch/TensorFlow, and general machine learning engineering practices.
- Domain Knowledge: Strong understanding of robotic perception (vision processing) and trajectory planning.
Why Join Us?
- Leading-Edge Research: Work on problems that are defining the future of AI and robotics, using state-of-the-art models and data.
- Direct Impact: Direct accountability for the intelligence layer of our robotic systems.
- Growth: Significant opportunity for technical leadership and expansion into novel AI domains within a rapidly scaling startup.
- Team & Culture: Be part of a highly motivated, fast-moving, and ambitious technical team.
We welcome developers within and outside the EU. We want to hear from you! Please submit your resume:

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