World Models Researcher for Humanoid Robotics

Auxo Talent; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Auxo Talent is seeking a Researcher to advance world models for humanoid robotics in the Bay Area. The role involves designing, training and evaluating models that let the robot perceive, predict and act across visual, proprioceptive, and force/torque data, in close collaboration with platform, firmware, and hardware teams.

This early-career position emphasizes genuine ownership beyond narrow scope, with opportunities to publish or open-source work and contribute to sim-to-real transfer and

Qualifications

• A proven modelling track record with trained models and solid evaluations.
• JEPA fluency and ability to reason about joint-embedding predictive approaches.
• Breadth across approaches, including familiarity with vision-language-action models and trade-offs.
• Depth in at least one sensory modality: vision, audio, language, or similar.
• Strong data abilities and ability to work without a dedicated data-engineering team.
• Solid engineering skills to implement and ship research

Responsibilities

• Design, train and evaluate world models for predicting action consequences across modalities.
• Advance self-supervised learning stacks for visual and sensor representations using JEPA family.
• Prototype and benchmark generative and predictive architectures (diffusion, DiT, VAEs) against JEPA objectives.
• Own end-to-end data pipeline: curation, tooling and scaling.
• Integrate research with platform, firmware and software teams to deploy on robots.
• Contribute to sim-to-real transfer, inverse dynamics and multi-modal sensor fusion; publish/open-source work

Job description

Auxo Talent is seeking a Researcher to advance world models for humanoid robotics in the Bay Area. The role involves designing, training and evaluating models that let the robot perceive, predict and act across visual, proprioceptive, and force/torque data, in close collaboration with platform, firmware, and hardware teams.

This early-career position emphasizes genuine ownership beyond narrow scope, with opportunities to publish or open-source work and contribute to sim-to-real transfer and