encord - Research Communications Lead, Physical AI
Requirements
• An ML practitioner: you've trained models, built datasets or run experiments, either for personal projects or as part of previous work experience • Genuinely excited by physical AI. You read the latest VLA and world-model papers because you want to, and you have opinions about where robot learning data is heading • Research taste: you can tell a real result from a noisy one, and you can find the one sentence a post is really about • Clear, concrete writing that leads with the finding and the number, and uses charts and video to carry the argument • Credibility with researchers: the broader team seek out your opinion, and you can review the underlying technical narrative and content beyond just the language or style • An owner who is driven by craft at speed: you turn a half-formed idea in Slack into a published, well-distributed post, driven by a strong sense of self-initiative and solutions-orientation • 2+ years in ML research, ML engineering, technical writing or developer relations, with hands-on exposure to computer vision, robotics or multimodal data • Working proficiency in Python and the ability to read code, papers and experiment logs well enough to check a claim yourself • Experience coordinating with multiple technical contributors to get a piece from idea to launch • Bonus: a degree or research experience in robot learning, CV or a related field; open-source work (e.g. LeRobot, Isaac, ROS); conference papers or workshop talks; an existing following in the ML or robotics community
Responsibilities
• Own the Data Labs research ideation: identify interesting and important topics worth dedicating resources to, collaborate with the broader ML team on the research process, and articulate our findings in a clear and compelling way • Partner with customers' research teams on joint research and case studies relating to their data pipelines • Work hand in hand with our broader ML team to scope, structure and draft research on topics ranging from embodied data collection approaches, to data curation, VLAs and world models • Build Data Labs publishing machine: a calendar, a review process with research, and templates for posts, benchmark launches, dataset releases and paper companions • Measure what lands, from citations and researcher follow-ups to inbound from physical AI teams, and feed that back into what we publish next
Benefits
• Competitive salary, commission, and meaningful equity in a high-growth startup • Clear, accelerated growth opportunities as the company scales rapidly • Strong in-person culture: 4 days/week • Daily team lunches & dinners • Annual learning & development budget • Comprehensive health, dental, and vision coverage • UK employees: 25 paid vacation days plus UK public holidays • Frequent travel opportunities across the U.S., London, and Europe • Bi-annual company offsites & monthly socials • Operating principles • You see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks. • Build with care & urgency • We bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here. • Self-aware & hungry • We stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long. • Invent in real time • We move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook. • If you're looking to do the most meaningful work of your career alongside people who push you to be better, we'd love to meet you.
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