Research Communications Lead (Physical AI)

Location: London, United Kingdom; onsite with a strong in-person culture and 4 days per week

Company

hirify.global builds data infrastructure for physical AI and enterprise machine learning teams, supporting applications across autonomous vehicles, robotics, sports, and healthcare.

What you will do

• Own Data Labs research ideation and identify important topics for investigation.
• Collaborate with the ML team and customer research teams on research, datasets, and case studies.
• Scope, structure, and draft research on embodied data collection, data curation, VLAs, and world models.
• Build the publishing process, including calendars, reviews, and templates for posts, benchmark launches, dataset releases, and paper companions.
• Distribute research through X, LinkedIn, Hugging Face, arXiv, newsletters, podcasts, and conferences including CoRL, IROS, and NeurIPS.
• Measure citations, researcher follow-ups, and inbound interest to guide future publishing.

Requirements

• 2+ years in ML research, ML engineering, technical writing, or developer relations, with hands-on exposure to computer vision, robotics, or multimodal data.
• Hands-on ML practice through training models, building datasets, or running experiments.
• Public portfolio of technical writing, such as blog posts, paper companions, tutorials, newsletters, or podcasts read and shared by researchers.
• Working proficiency in Python and ability to read code, papers, and experiment logs well enough to verify claims.
• Ability to distinguish reliable results from noisy ones and identify the central finding of research.
• Clear, concrete writing supported by charts and video.
• Credibility with researchers and ability to review technical narratives and content beyond language and style.
• Experience coordinating multiple technical contributors from idea to launch.
• Strong self-initiative, ownership, craft, speed, and solutions orientation.

Nice to have

• Degree or research experience in robot learning, computer vision, or a related field.
• Open-source work such as LeRobot, Isaac, or ROS.
• Conference papers or workshop talks.
• Existing following in the ML or robotics community.

Culture & Benefits

• Competitive salary, commission, and meaningful equity in a high-growth startup.
• Accelerated growth opportunities and annual learning and development budget.
• Four days per week in person, with daily team lunches and dinners.
• Comprehensive health, dental, and vision coverage.
• UK employees receive 25 paid vacation days plus UK public holidays.
• Frequent travel across the U.S., London, and Europe, plus bi-annual offsites and monthly socials.