Robotics Engineer Autonomy

MENLO RESEARCH PTE. LTD.; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading robotics research firm in Greater London is seeking to hire an individual to lead algorithm and architecture development for robots. This role encompasses training large-scale models that help robots interpret and interact with the physical world. Responsibilities include deploying models into real-time robots, supporting human-robot interaction, and ensuring model generalization and safety. Ideal candidates will have experience in robotics and AI with a strong focus on cross-modal systems.

Responsibilities

• Train and adapt large-scale VLA & VLMs predicting multi-modal futures.
• Develop systems for cross-modal grounding for robot interpretation.
• Enable temporal reasoning and goal-directed behavior in robots.
• Support human-robot interaction through intention recognition.
• Deploy models into real-time humanoid and mobile robots.
• Evaluate pipelines for generalization and safety.
• Collaborate with teams for sim-to-real transfer.
• Publish and open source datasets and models.

Job description

Overview

Role Overview
You will lead development of the algorithms and architectures that enable our robots to interact with and reason about the physical world. This role bridges world model research, embodied AI, and real-time robotics. You will engineer models and learning systems that power robotic agents through real world jobs.

Responsibilities

• Train and adapt large-scale VLA & VLMs that predict multi-modal futures (video, proprioception, audio, actions)
• Develop systems for cross-modal grounding, enabling robots to interpret sensor data in context and build coherent world models
• Enable temporal reasoning and goal-directed behavior through hierarchical task decomposition and meta-reasoning
• Support human-robot interaction by recognizing intentions, interpreting social cues, and enabling collaborative workflows
• Deploy models into real-time humanoid and mobile robots
• Evaluate and scale pipelines to measure generalization and safety
• Collaborate with locomotion, simulation and hardware teams to bridge sim-to-real transfer
• Publish and open source datasets, models, papers in parallel