Hyper Online
AI

Applied Machine Learning Lead

Hyper Online · California San Francisco US · $0k

Actively hiring Posted almost 3 years ago

About Hyper

Hyper's goal is to build the world's best avatar tools.  We're starting with VTubing as our first use-case: avatars that people use to live-stream and make content online. Avatar content (also known as VTubing) has broken into the multi-billion-view-per-month category on places like Twitch and YouTube. This has given a new group of people the power to tell stories and present themselves on their own terms online while also protecting their IRL identities. We're now the #1 US VTubing app on iOS, and have recently released an AI platform to create avatar powered agents.

We're backed by great investors over at Amazon, MakersFund, YCombinator, and more.

App Store

About the role

Hyper is looking for an engineer with experience implementing and deploying cutting edge machine learning research to power the next generation of avatar tools. As our first machine learning focused hire you’ll set the standards for execution and delivery of great ML-powered services and features for our avatar and ai platform.

About the role

💻 You'll be leading the development of machine learning services that power our avatar creation suite. These will range in work around 3D, animation, and graphics, and other parts of the avatar stack that may impact the experience like LLMs and audio synthesis.

📙 You should have 6+ years of professional experience implementing papers, preparing data, training, building, and deploying machine learning services, or equivalent experience in public personal projects.

📈 You'll be joining a small team focused on a fast growing product.

🌎 Hyper is ~7 people right now and we're fully remote, so great written communication skills are a must.

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Ai Lead Ycombinator
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.