Erstellt am 31. Mai 2026
Senior AI/ML Engineer (F/M/D)
Animore
München, Bayern 80331, Germany
Vollzeit
Reference: 1785635630
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
Technologies
Requirements
Must Have
Benefits
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.
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
Requirements
Must Have
- 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
- 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
Benefits
- 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.