The Opportunity
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
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Design and train foundation models that integrate vision, language, and actions for embodied intelligence
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Adapt LLMs and VLMs for robotic control, planning, and interactive behavior, enabling context-aware decision making
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Develop AI-driven control policies for manipulation, grasping, and motion planning using reinforcement learning, imitation learning, and foundation model approaches
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Build modular, scalable, and high-performance data processing, training, and inference pipelines for large-scale datasets
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Design reproducible workflows for training, evaluation, and deployment, including benchmarking for generalization, safety, and task success
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Stay current with advances in AI and robotics, translating research into production systems and contributing to papers, patents, or open-source work
Technologies
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Python, C++
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PyTorch (or TensorFlow / JAX)
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Transformer-based models (LLMs, VLMs, multimodal architectures)
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Distributed training frameworks
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Linux, Docker (Kubernetes nice to have)
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ML pipelines and model deployment systems
Requirements
Must Have
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MSc (6+ years industry) or PhD (2+ years industry) in Computer Science, Robotics, Electrical Engineering, AI, or related field
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Strong background in machine learning, deep learning, and optimization
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Hands-on experience with transformer-based architectures (LLMs, VLMs, multimodal models)
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Strong Python skills and good proficiency in C++
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Experience with PyTorch (or TensorFlow / JAX)
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Solid software engineering skills (clean code, testing, system design, CI/CD)
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Strong mathematical and statistical foundation
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Experience working in Linux environments and with Docker
Nice to Have
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Experience with reinforcement learning or imitation learning
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Robotics experience (perception, control, or manipulation systems)
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Experience with distributed training at scale
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Kubernetes or large-scale deployment systems
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Publications, open-source contributions, or research background in AI/ Robotics
Benefits
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Competitive compensation package
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Various employee subsidies and perks, including public transportation and Wellpass
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Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
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Opportunity to make a real impact by working on cutting-edge robotics and AI systems
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Fast growth potential in a rapidly evolving company and industry
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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.
