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VLA/WAM Research Engineer (Humanoid Robotics Foundation Models)

flexion • Switzerland
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Develops foundation models for humanoid robots, focusing on VLA/WAM architectures, large-scale pretraining, and adaptation across tasks/embodiments. Requires deep expertise in multimodal models, robot learning, or reinforcement learning. Works on predictive world/action models, continual learning, and real-world robot evaluation.

Key Highlights
Designs multimodal foundation models (VLA/WAM) for humanoid robotics
Leads large-scale pretraining and adaptation of models across diverse robot embodiments
Focuses on predictive world/action models, continual learning, and reinforcement learning
Key Responsibilities
Design and develop multimodal foundation models for humanoid robotic control
Conduct large-scale pretraining across diverse robot datasets and embodiments
Develop predictive world and action models for representation learning and policy improvement
Implement methods for efficient model adaptation and continual learning
Evaluate models in simulation and on real robots, guiding architecture and training decisions
Technical Skills Required
PyTorch Multimodal Foundation Models Reinforcement Learning
Benefits & Perks
Competitive compensation
Enhanced pension plan
Enhanced holiday & paid leave perks
Relocation & permit sponsorship
Central Zürich office with top-tier robotics testing facilities
Nice to Have
Experience with VLA/VLM, diffusion, or flow-matching architectures
Distributed training and multi-node GPU systems expertise
Experience with reinforcement learning, offline RL, or continual learning
Working with teleoperation, egocentric video, or autonomous rollouts

Job Description

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we've gone from our first line of code to deploying real humanoid capabilities.

The role

As our VLA/WAM Research Engineer, you'll develop the foundation models that power our humanoid robots, spanning model architecture, large-scale pre-training, adaptation, and post-training.

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