AI Software Engineer, Imitation Learning (f/m/d)

About This Opportunity

Our talent team is representing a confidential robotics client in Munich that is developing advanced manipulation systems for industrial deployment. This is not a research project—our client has paying customers and is launching now. You'll join at a pivotal moment where fundamental AI engineering decisions directly impact production systems used in real manufacturing environments.

We're seeking an AI Software Engineer specializing in Imitation Learning to develop the learning systems that enable dexterous robotic manipulation from human demonstrations. You'll work across machine learning, data engineering, and physical robotics to transform demonstrations into robust policies that run reliably on real hardware.

Responsibilities

• Develop imitation learning methods for dexterous manipulation tasks and robotic systems
• Build data pipelines for collecting, processing, and curating demonstration and trajectory data
• Develop and train manipulation policies from human and robot demonstrations
• Work with multimodal data including robot states, actions, vision, and tactile signals
• Evaluate, debug, and improve learned policies in both simulation and real robotic hardware
• Develop methods for data efficiency, generalization, and robust policy execution
• Build software infrastructure for training, evaluation, and deployment of learned behaviors
• Collaborate with robotics and controls engineers to integrate learned policies with control systems
• Analyze failure cases and iterate on datasets, training methods, and policies
• Contribute to scalable approaches for acquiring new robotic skills

What We're Looking For

Required:

• Degree in Computer Science, Robotics, AI, Electrical Engineering, or related field
• Strong software engineering skills in Python; C++ experience preferred
• Experience with imitation learning, behavioral cloning, or related learning-based robotics methods
• Strong understanding of machine learning and deep learning fundamentals
• Experience working with robotic systems and real-world sensor or trajectory data
• Experience with PyTorch or similar deep learning frameworks
• Good understanding of robot kinematics, dynamics, and control
• Strong problem-solving skills with a hands-on approach to testing on real systems
• Ability to work across machine learning, software engineering, and physical robotics

Bonus qualifications:

• Experience with dexterous manipulation, grasping, or robotic hand systems
• Experience with teleoperation or demonstration data collection
• Experience with reinforcement learning or offline RL
• Experience with vision-language-action or multimodal policies
• Experience deploying learned policies on real robotic hardware

How We Work With You

Candidates apply through Get A Job.ai, where our recruiting team will conduct an initial screening. We'll then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly—all communication flows through our team to ensure a professional process for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.