Rosebud AI (S19)
Easiest way to create videos with virtual talent via a self serve app.

Marketing/Product/Chief Meme Officer-Intern for top AI Startup [REMOTE/PAID]

Remote / Remote
Internship
About Rosebud AI

We're democratizing the creation of visuals, so that brands big and small can tell their story compellingly. We believe all image and video creation will be done via generative methods in 5 years. We're building that future.

Currently marketing teams and creative agencies use Rosebud to make infinite variations of people in their ads so they can target by detailed demographics. We can take an image of a 65-year-old woman driving a convertible down the Amalfi Coast and programmatically modify it into a 25-year-old Chinese woman or a man going through his midlife crisis.

About the role

You will be applying to be a jack/jill of all trades intern at Rosebud AI, and will work directly with the CEO. Rosebud creates images and videos programmatically with AI, with generated backgrounds and people that look highly photorealistic. Their products have been featured in the New York Times, Washington Post, Vogue, Vice, Wired, the Joe Rogan Podcast and Goularte. Vinod Khosla of Khosla ventures led their seed, with participation from Y Combinator, Balaji Srinivasan (former CTO Coinbase), Ilya Sutskever (Chief Scientist Open AI), and Kevin Lin (founder and former COO of Twitch).

We are looking to hire an intern for social media marketing for Rosebud's new generative media products. For instance, this started as an art project but was also very useful for marketing: Humans of AI. Many of our generative video products have not been released yet and can be used to make interactive games, music videos, virtual personas, movies and immersive experiences. The role requires someone who can think on their feet and be creative about how to generate virality. To have some structure

Video editing experience, various artistic and technical skills will help in the role, so be sure to mention if you have these. Work can include

  • Creative outreach to generate viral content!
  • Create marketing video materials
  • Make memes, and other types of content for Tiktok, Youtube and Twitch with our tools. Get creative!
  • Video editing and photoshop (please link to work)
  • Gather Industry Data and Research
  • Client Outreach
  • editing webpages in Webflow.
  • Prepare graphics, and Canva presentations

To make the internship more structured, the intern will have access to a high calibre viral marketing course by another YC founder ($1000 tuition paid by Rosebud) at https://jumpcut.com/viral-academy . Smart, bold and proactive about executing is a must. For instance, we will experiment with reaching many different user personas, from large brands to creators of indie games, musicians, gamers and much more. You may be asked to scour popular discord channels to engage users on one day, and email brand executives the next. You will definitely learn a lot.

To apply, please send over an edited video of something cool you made with tokkingheads. Also send over a loom video to [email protected] explaining why you are qualified for the role and include your CV and links to relevant projects you are proud of that relate to your qualifications. For instance, if you already built a large social following for a project, tell us about it. Or you figured out a way to solve a problem unique, tell us about it. Are you also passionate about the area of AI generated videos, and media? Tell us about it. Looking forward to hearing from you.

Pay: scales depending on experience

Technology

In this role, you’ll build and implement novel Machine Learning and Deep Learning systems, as well as helping to build the infrastructure to train and deploy them. Specifically, you’ll: Design and implement the infrastructure required to train and run inference of models at scale. Build state-of-the-art deep learning and specifically Generative Adversarial Network (GAN) models. Work with the mobile development team to build real-time systems for model serving Work with the data team’s infrastructure to build real-time and offline feature databases As we grow, scale the ML system to be able to support more use cases and ML model types Qualifications & Requirements for ML Engineer Nice to have: Experience integrating with front end mobile systems, like React Native. Experience working with Google App Engine. Experience re-implementing deep learning models from papers. Especially previous work with GANs. One of the following: (a) BS or MS in CS or related field with 1+ years of experience in implementing and deploying large scale ML solutions (but honestly high school drop out is fine if you are a amazing dev). OR (b) Ph.D. in Machine Learning, Statistics, Optimization, Physics, or related field, with 1+ years experience building production-ready ML models and systems Strong software engineering fundamentals - understanding of data structures and algorithms, O-notation, ability to maintain a test suite and write clear maintainable code Familiarity with a majority of the following tools: Pytorch, Tensorflow, Numpy, Scipy, pandas, scikit-learn, Google App Engine. Strong programming skills in Python and ability to wrangle data from many disparate data sources Professional experience in either mobile development or full stack engineering Technologies we use: Pytorch, Swift, Google Clould Platform and AWS.

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