sync.
AI lipsync tool for video content creators
Forward Deployed Engineer
About the role
We’re hiring Forward Deployed Engineers to help deploy and shape our in-house AI models in real production environments. In this role, you’ll work closely with our team, creative partners, and some of the biggest studios to adapt model behavior to the specific needs of each project. This is a highly hands-on role for people who are strong at experimentation, workflow design, and translating ambiguous creative or production goals into reliable outputs using our own trained models.
You’ll sit at the intersection of engineering, product, and delivery. This means you will working directly with our models, refining performance for project-specific use cases, building repeatable systems, and helping partners get the most out of the technology in high-stakes production settings. We’re looking for talented, resourceful people who can move fast, think clearly, and thrive in collaborative project environments as we grow the team for upcoming projects.
While we can’t publicly talk about much of our recent work right now, we did work with Operation Safed Sagar’s team, and we loved every moment of it.
About sync.
at sync. we're making video as fluid and editable as a word document.
how much time would you save if you could record every video in a single take?
no more re-recording yourself because you didn't like what you said, or how you said it.
just shoot once, revise yourself to do exactly what you want, and post. that's all.
this is the future of video: AI modified >> AI generated
we're playing at the edge of science + fiction.
our team is young, hungry, uniquely experienced, and advised by some of the greatest research minds + startup operators in the world. we're driven to solve impossible problems, impossibly fast.
our founders are the original team behind the open sourced wav2lip — the most prolific lip-sync model to date w/ over 9k+ GitHub stars.
we’re at a stage today in computer vision where we were w/ NLP two years ago — have a bunch of disparate, specialized models (eg. Sentiment classification, translation, summarization, etc), but LLMs (a generalized large language model) displaced them.
we’re taking the same approach – curating high quality datasets + training a series of specialized models to accomplish specific tasks, while building up to towards a more generalized approach for one model to rule them all.
post batch our growth is e^x – we need help asap to scale up our infra, training, and product velocity.
we look for the following: [1] raw intelligence [2] boundless curiosity [3] exceptional resolve [4] high agency [5] outlier hustle
