Research Communications Lead, Physical AI

present of AI; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Encord is seeking a Research Communications Lead for Physical AI to identify compelling research topics, collaborate with an ML team to shape results, and translate findings into clear published pieces.

The role requires hands-on ML or data work, the ability to read code and papers to validate claims, and the ability to publish with front-loaded key numbers. You will manage a publishing calendar, secure reviews, and disseminate work to the research community.

Qualifications

• Hands-on ML or data work experience.
• Ability to read code and papers to validate claims.
• Strong writing with key numbers upfront.

Responsibilities

• Identify research topics worth pursuing.
• Collaborate with ML team to shape results.
• Turn findings into clear published pieces.
• Run publishing calendar and manage reviews.
• Push outputs to the research community.

Skills

Public technical writing

Python and code reading

Computer vision exposure

Robotics exposure

Research review judgment

Publishing and distribution record

Tools

Python

Job description

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.