Research Scientist (Robotics/AI)

TL;DR

Research Scientist (Robotics/AI): Architecting and training advanced models for physical AI agents to expand the functional limits of robotic systems with an accent on reinforcement learning, multimodal generative modeling, and sim-to-real transfer. Focus on building large-scale data pipelines, transitioning academic research into tangible robotics hardware impact, and solving complex manipulation challenges.

Location: Must be based in or able to work from London, UK

Company

hirify.global is a world-leading AI research organization dedicated to creating intelligent systems that benefit the public through scientific advancement.

What you will do

• Architect and train advanced models to push the functional boundaries of autonomous robotic systems.
• Develop high-quality code to prototype and refine research concepts for real-world robotics hardware.
• Apply specialized knowledge in reinforcement learning, imitation learning, and generative architectures.
• Collaborate within cross-functional teams to integrate foundation models into physical robotic agents.
• Communicate novel research ideas and experimental results to both technical and general audiences.
• Address hardware challenges focused on complex manipulation and advanced sensor integration.

Requirements

• PhD in a relevant quantitative field or significant equivalent professional research experience.
• Deep theoretical understanding of reinforcement learning and imitation learning methodologies.
• Experience with multimodal generative modeling and efficient inference systems.
• Expertise in scaling large-scale vision-language or video foundation models.
• Proven background in building large-scale data pipelines and production-ready systems.
• Strong drive to transition academic research into tangible robotic impact.

Culture & Benefits

• Collaborative environment with interdisciplinary teams of world-class AI experts.
• Access to cutting-edge infrastructure for large-scale training and robotic prototyping.
• Focus on safety and ethical AI development as a foundational principle.
• Commitment to diversity and inclusion with comprehensive equal employment opportunities.
• Supportive culture for professionals with disabilities or specific accommodation needs.