ML Engineer (f/m/d) - Robotics Foundation Models

Description

Hexagon Robotics is developing humanoid robots for industrial sectors. We are hiring a Machine Learning Engineer to join our Foundation Model team, focused on building, evaluating, and deploying state‑of‑the‑art foundation models for humanoid robotic manipulation. You will work on making modern models (VLA, world action models, diffusion policies) work reliably and efficiently on a real industrial humanoid robot.

Responsibilities

• Evaluate and benchmark foundation models (e.g. VLA, world action models, diffusion-based policies) on real robotic manipulation tasks
• Design and run experiments to understand model behavior, data requirements, failure modes, and generalization limits on humanoid hardware
• Develop fine-tuning and adaptation methodologies to specialize large pre-trained models for industrial-grade performance on targeted tasks
• Build and maintain clean evaluation pipelines, benchmarks, and metrics to support rigorous model comparison and selection
• Work closely with MLOps/DataOps and Learning teams to integrate selected models into our end-to-end learning and deployment pipeline
• Collaborate with Robotics and Product teams to ensure model choices align with real-world constraints and customer workflows

Qualifications

• PhD or MSc in Machine Learning, Robotics, Computer Science, or a related field
• Solid understanding of modern multimodal model architectures and training methods
• Strong hands-on experience with modern deep learning frameworks (e.g. pytorch/jax)
• Experience designing experiments and making data-driven technical decisions
• Strong advantage: Experience with VLAs, world action models, diffusion policies, etc. for robotic manipulation
• Familiarity with efficient fine-tuning techniques (e.g. LoRA, adapters, distillation)
• Experience working with real-world, imperfect datasets and hardware-in-the-loop evaluation
• Publications, open-source contributions, or strong applied research projects in ML and/or robotics

Benefits

• Flexible working hours and a hybrid model for real work-life balance
• Generous vacation: 25–30 days depending on age
• CHF 500 mobility credit for sustainable commuting
• Bonus system & strong pension contributions
• Tailored training & development opportunities
• Relocation support for a smooth start
• Discounts on health, mobility & entertainment
• Team events and a flat hierarchy where your voice counts
• A warm, international culture built on respect and collaboration