Senior AI/ML Engineer

As a Senior AI/ML Engineer, you will work at the intersection of foundation models and robotics, developing systems that combine vision, language, and action for embodied intelligence.

You will help bridge cutting-edge AI research with real-world robotic applications, ensuring that large-scale models can operate reliably in physical environments. This role sits at the core of building robots that can perceive, reason, and act intelligently in dynamic settings.

Your Responsibilities

• Design and train foundation models that integrate vision, language, and actions for embodied intelligence
• Adapt LLMs and VLMs for robotic control, planning, and interactive behavior, enabling context-aware decision making
• Develop AI-driven control policies for manipulation, grasping, and motion planning using reinforcement learning, imitation learning, and foundation model approaches
• Build modular, scalable, and high-performance data processing, training, and inference pipelines for large-scale datasets
• Design reproducible workflows for training, evaluation, and deployment, including benchmarking for generalization, safety, and task success
• Stay current with advances in AI and robotics, translating research into production systems and contributing to papers, patents, or open-source work

Technologies

• Python, C++
• PyTorch (or TensorFlow / JAX)
• Transformer-based models (LLMs, VLMs, multimodal architectures)
• Distributed training frameworks
• Linux, Docker (Kubernetes nice to have)
• ML pipelines and model deployment systems

• MSc (6+ years industry) or PhD (2+ years industry) in Computer Science, Robotics, Electrical Engineering, AI, or related field
• Strong background in machine learning, deep learning, and optimization
• Hands-on experience with transformer-based architectures (LLMs, VLMs, multimodal models)
• Strong Python skills and good proficiency in C++
• Experience with PyTorch (or TensorFlow / JAX)
• Solid software engineering skills (clean code, testing, system design, CI/CD)
• Strong mathematical and statistical foundation
• Experience working in Linux environments and with Docker

Nice to Have

• Experience with reinforcement learning or imitation learning
• Robotics experience (perception, control, or manipulation systems)
• Experience with distributed training at scale
• Kubernetes or large-scale deployment systems
• Publications, open-source contributions, or research background in AI/ Robotics

• Competitive compensation package
• Various employee subsidies and perks, including public transportation and Wellpass
• Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
• Opportunity to make a real impact by working on cutting-edge robotics and AI systems
• Fast growth potential in a rapidly evolving company and industry
• International office environment with English as the official working language

Recruiting Process

Your recruiting partner for this role is Madhulika (she/her). You can expect a screening call and up to 4 rounds of interviews including an onsite visit to our office in Munich to meet with the team.

We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.

If you need any accommodations during the recruiting process, just reach out to your recruiting partner.