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You will be updated with latest job alerts via emailAre you ready to shape the cognitive abilities of tomorrows robots
As a Research Engineer focused on Reasoning youll work to empower robots with humanlike decisionmaking capabilities enabling them to intelligently navigate realworld complexities.
Your initial goal will be to dive deep into research drawing inspiration from cuttingedge papers like Open XEmbodiment: Robotic Learning Datasets and RTX Models. and Open XEmbodiment: Robotic Learning Datasets and RTX Models. Over the first six months youll be responsible for researching applying and building a sophisticated reasoning system.
This is a Staff level role so you will have a PhD plus at least a few years in the industry leading technical projects.
Youll also be tasked with providing a strategic vision for scaling this new reasoning system sharing your findings through industry publications and leading the deployment of your ideas at a larger scale. As the project evolves youll lead a growing team to support the increased scope of activity.
You should be proficient in working with Transformers including Large Vision Models LLMs and Multimodal Models. A background in NLP is expected and experience with Symbolic reasoning is a plus but a deep understanding of Deep Learning and Transformers is essential.
Autonomy and selfsufficiency are critical for this role. Youll define data requirements set up environments gather data run simulations analyse results and showcase your work. Reproducing research papers in RTX or VLA will be a regular part of your role and youll need to overcome the challenge of applying these concepts to real robots.
In addition to research youll need to consider the practical challenges of deployment especially as the team grows and more infrastructure hires are made to support your work.
This hybrid role is based in London requiring 3 days in the office. Relocation and visa support are provided.
The base salary isdepending on experience plus stock options.
If youre passionate about pushing the boundaries of AI and robotics apply today for immediate consideration.
Required Experience:
Staff IC
Full-Time