Research Communications Lead, Physical AI
This role asks for someone who can spot research topics worth pursuing, work with an ML team to shape their results, and turn findings into clear published pieces. A strong candidate has hands on ML or data work, can read code and papers well enough to check a claim, and writes plainly with the key number up front. It also needs someone who can run a publishing calendar, get work reviewed, and push it out to the research community.
How it fits the AI era
The work sits close to how physical AI systems are trained, where data quality and curation decide what models can do. AI tools speed up drafting, summarizing and distribution, but judging which result is real and finding the one sentence that matters stays with the person. Building trust with researchers and customers is still done through careful, honest writing and follow through.
How it builds AI experience
The role offers direct exposure to embodied data collection, data curation, vision language action models and world models, plus datasets and benchmarks released in the open. Someone can build on this by studying the company's published research, trying small experiments with open tools for robot learning, and writing public posts that explain results with numbers. Working alongside customer research teams on joint studies adds practical experience in how real data pipelines are built.
Worth showing
- Public technical writing portfolio
- Python and code reading
- Computer vision or robotics exposure
- Research review judgment
- Publishing and distribution record
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Encord
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.
#J-18808-Ljbffr
Research Communications Lead, Physical AI employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
