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Machine Learning Engineer

Join Krea.ai as a Machine Learning Engineer to work on innovative AI tools for creatives in a collaborative environment.

Location
San Francisco
Compensation
Not disclosed
Level
Not specified
Type
full time · On-site

Posted by employer 1 year ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

AI in the day-to-day

We're building next-generation AI creative tools to empower human creativity.

Requirements

Visa
Sponsorship available

Not disclosed in this posting: compensation, seniority, years of experience.

Benefits

401k Match Visa Sponsorship Flexible PTO Meals in the office Equity/Stock Options Transit coverage Health Insurance

Joblaze summary

In this role, the machine learning engineer focuses on training large-scale image and video models, including foundation diffusion models and controllability modules. Proficiency in deep learning frameworks and experience with distributed training are essential, along with a knack for rapid iteration and innovative research. This position is ideal for someone with a strong background in image or video modeling, looking to contribute to a creative team dedicated to advancing AI tools. Krea.ai's environment fosters collaboration among diverse talents, enhancing the creative potential of AI.

Joblaze insights

Quick facts

Is the Machine Learning Engineer role remote?
No — this is an on-site role in San Francisco.
Where is the role based?
krea.ai is hiring for this position in San Francisco.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Deep Learning, distributed training, image generation, video generation.
Does krea.ai sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
Is this full-time or contract?
Full-time for this Machine Learning Engineer role at krea.ai.

From the original posting

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.

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

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