Machine Learning Engineer

Job description

About Krea

At Krea, we are building next-generation AI creative tools.

We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control, and with Krea 3 - our new image editing model.

We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.

This role

We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.

What you'll do

- Train foundation diffusion models for image and video generation

- Train controllability modules such as IPAdapters or ControlNets

- Develop novel research techniques and put them into production

- Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets

What we're looking for

- Proven track record in working with image or video models at scale (publications or open-source contributions a plus)

- Strong background in deep learning frameworks and distributed training paradigms

- Ability to iterate rapidly, and propose creative research directions

What we offer

- Team: Work alongside a world-class team building the future of AI creative tooling

- Impact: Significant scope and company-wide impact

- Competitive compensation: generous salary & equity packages

- Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage

- Time off: Flexible PTO policy

- Financial planning: 401k with a 4% company-sponsored match

- Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it

- Transit: Ubers covered to & from the office

- Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).

- And more!

Please note the above benefits & perks are for full-time employees

Responsibilities

• Train foundation diffusion models for image and video generation
• Train controllability modules such as IPAdapters or ControlNets
• Develop novel research techniques and put them into production
• Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets

Requirements

• Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
• Strong background in deep learning frameworks and distributed training paradigms
• Ability to iterate rapidly, and propose creative research directions

Benefits

• Team: Work alongside a world-class team building the future of AI creative tooling
• Impact: Significant scope and company-wide impact
• Competitive compensation: generous salary & equity packages
• Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
• Time off: Flexible PTO policy
• Financial planning: 401k with a 4% company-sponsored match
• Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
• Transit: Ubers covered to & from the office
• Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
• And more!