Job description
Machine Learning Engineer
🎨 About Kaiber
At Kaiber, our mission is to empower humans with generative creative tools and discover what it means for humans and machines to make art together.
Our product is a generative AI creative suite that enables creatives to make anything they imagined in a modular and composable platform with much more on the way.
We also run Kaiber studio - a creative AI research studio. Our studio defines the next frontier of self expression with cutting edge technology and high visibility partnerships such as Linkin Park, Mike Shinoda, Kid Cudi, and Grimes.
🚀Our customers use Kaiber to:
Create music videos
Animate album art covers
Make concert visuals
Craft full-length films
Repurpose content with an imaginative twist
😤 Founding Team
Kaiber was founded by Victor Wang (Goodwin, Inkly), Eric Gao (Facebook, Banner [YC]), Jacky Lu (Stripe), and Christine Zuniga (Tableau, MuleSoft).
We are seeking a dynamic and product-focused Machine Learning Engineer who is passionate about advancing the creative arts. In this critical role, you’ll leverage cutting-edge AI technologies to enhance our product, taking both ownership and initiative in research, developing, and deploying tools and experiences.
What you’ll own:
As a Machine Learning Engineer, you will stay at the very cutting edge of AI research and advancements, translating complexities into practical, creative, and usable features for our product and studio. You’ll be working on a variety of projects, from improving existing functionalities to launching entirely new capabilities. You will actively collaborate with other teams, including product, design, and engineering.
Your Experience
You have 4+ years of experience in AI, machine learning, or a related field.
You have the ability to work in the U.S. time zones, though we consider candidates from anywhere.
You have a passion for AI-driven generative art and a strong desire to push the boundaries of technology.
You thrive in a dynamic, product-focused role and are comfortable balancing research with practical implementation.
You have the ability to work independently and proactively solve problems.
You are a leader who is passionate about building products and teams.
You have a remote-first mindset but value occasional in-person meetings or events.
Bonus:
You are familiar with open-source generative AI tooling, such as comfyUI or a1111’s Stable Diffusion WebUI.
Experience working within an applied research team or academic research team.
💰Benefits:
Generous Health, Dental, & Vision benefits
Highly competitive salary + equity
Unlimited PTO
Annual team offsite
A passionate team that loves to push the bounds of creativity
$150,000 - $250,000 a year
$150,000 - $250,000/yr DOE
This salary range may be inclusive of several career levels and will be narrowed during the interview process based on a number of factors, such as candidate’s experience, knowledge, skills and abilities, as well as internal equity among our team.
Additional benefits for this role may include: equity, company bonus opportunities; medical, dental, and vision benefits; and supplemental wellness benefits.
