2 месяца назад
Team Lead AI Engineering (Robotics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Team Lead AI Engineering – NEURAGym (Robotics): Leading the development of deployable robotic skills by connecting domain expertise, teleoperation, data collection, model training, simulation, and deployment with an accent on real-world AI systems and customer collaboration. Focus on building scalable training pipelines, supporting live robotic experiments, solving data and model issues, and improving skill success rate and data efficiency.
Location: Aachen, Germany
Company
develops physical AI systems and robotic capabilities through its NEURA Gym network of physical training centers.
What you will do
- Hire, coach, and lead AI Engineers building deployable robotic skills.
- Own the technical relationship with NEURA Gym partners, evaluating use cases, feasibility, algorithms, and data collection strategies.
- Oversee the end-to-end pipeline from teleoperation and data collection through training, simulation, deployment, and validation.
- Work with Robotics Engineers during live data collection and experiments while maintaining high safety standards.
- Provide hands-on support with training pipelines, data quality investigations, and model-related bugs.
- Connect NEURA Gym, Cloud, and Core AI teams and use deployment learnings to improve the product roadmap and core AI capabilities.
Requirements
- Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
- Hands-on experience developing machine learning solutions for robotics, with expertise in at least two of vision-based manipulation, reinforcement or imitation learning, and Vision-Language-Action or multimodal foundation models.
- Experience leading engineers, projects, or technical initiatives.
- Practical experience with PyTorch or TensorFlow and strong Python programming skills.
- Confidence working with physical robotic systems and robotics software stacks and middleware.
- Professional working proficiency in English is required.
Nice to have
- C++ experience.
- Familiarity with AWS, Azure, or GCP.
- Experience with Isaac Sim or MuJoCo.
- German language skills.
Culture & Benefits
- Work on AI systems deployed on physical robots rather than research prototypes.
- Collaborate directly with customers and end-users to bring robotic applications to life.
- Work across AI engineering, robotics, cloud, and core AI teams.
- Drive measurable improvements through metrics such as skill success rate, time-to-validated skill, and data efficiency.
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