AI Developer Experience & Media Lead

3 нед. назад

USALead

data curationmodel trainingmachine learningpython

Lead AI developer experience and media efforts at focusing on data curation for model training optimization.

О компании

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
At , we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling ( BeyondWeb ) and pretraining with domain-specific data ( The Finetuner’s Fallacy ).
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in Redwood City, CA. We are in office 4 days a week.

Обязанности

In this role, you'll be our expert on social, the person who knows how to make 's research travel on X and across the AI community. You'll turn our research into narratives, demos, threads, videos, and launches, build a voice on X that people recognize and trust, and take part in the conversation as it happens. You'll also help our founders and researchers communicate in their own voices.
The work sits where engineering meets media. You can read one of our results, understand why it matters, and build a demo or write a thread that a technical audience respects. You have a creator's instincts for hooks, video, distribution, and taste. And you're genuinely active in the AI community on X, replying, experimenting, and engaging, not just posting announcements.
You'll build the playbook as you operate it. We have real research worth talking about, credible founders, and an audience that's already here, and we're looking for someone who can meet them where they are and be trusted to run with it.

Требования

Technical legitimacy. You can build and explain real AI systems. You can read a paper or a launch brief, understand it, comment on it accurately, and produce a demo or a technically serious thread from it.
X-native. You genuinely live on the platform. You post and reply frequently, participate in live conversations, and have a native tone. We care far more about your reply and quote-post behavior and your taste than your follower count.
Creator instincts. You understand hooks, compression, video, personality, and distribution. You have a recognizable voice and a feel for what makes people stop scrolling and engage.
Ambient participant, not a broadcaster. You interact, experiment, and joke in the conversation rather than only publishing polished company announcements.
Able to write in other voices. You can help a founder or researcher sound like themselves, credibly, without flattening what makes them distinctive.
Self-starter with a bias toward action. You take an objective, build the approach, and run with it.
Startup-ready. Comfortable building the playbook as you operate it, moving fast, and owning outcomes end to end.

Будет плюсом

Your own audience on X, or a track record of building one, with side projects or demos that have circulated organically
Experience at an AI model or infrastructure company, or in developer relations, developer marketing, or growth engineering
A body of technical content spanning agents, inference, multimodality, coding workflows, or similar
Comfort in front of a camera and the ability to produce short technical video
Don't meet every single requirement? We still encourage you to apply. If you're excited about our mission and eager to learn, we want to hear from you!

Условия

At , we are dedicated to rewarding talent with a highly competitive salary and significant equity. The base salary range for this position is 160,000 - $230,000.
The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.
100% covered health benefits (medical, vision, and dental).
401(k) plan with a generous 4% company match.
Unlimited PTO policy
Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
Annual $2,000 wellness stipend.
Annual $1,000 learning and development stipend.
Daily lunches and snacks are provided in our office!
Relocation assistance for employees moving to the Bay Area.

Другое

Technical storytelling and demos. Take our research and product work and turn it into narratives, threads, videos, live demos, and launches that a technical audience finds genuinely interesting.
Company voice on X. Build a recognizable, native voice for on X and run it day to day. Reply, quote-post, and participate in live conversations in real time.
Founder and researcher enablement. Help leadership and our research team show up in their own voices.
Research launches, end to end. Own the public launch of our research across X, the technical blog, and video: the angle, the assets, the sequencing, and the follow-through, so each result gets the attention it deserves.
Community and relationships. Build real relationships with researchers, open-source developers, AI creators, and technical founders.
Feedback loop into product and research. Bring what you learn in the community back to the team, so what we hear from developers and researchers informs what we build and what we say next.
Experiments and measurement. Run experiments across X, technical writing, video, launches, and events. Track what earns attention and trust from the right people, and use it to sharpen what we do next.