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    KR

    Krea

    Artificial Intelligence

    ML Researcher - Image / Video Diffusion

    San Francisco, United StatesOn-SiteFull-timePosted 3w ago
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    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.

    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.

    We're looking for an experienced Researcher with engineering skills who can work on large-scale image and video models training experiments, with experience training image models at scale.

    Our culture

    • We work full-time and in-person at our North Beach office in San Francisco.

    • We believe that demonstrated interest in the creative space is key: our team includes musicians, designers, visual artists and more.

    • Fast iteration and execution speed. Bias towards action, agency, and independence.

    What you'll do

    • Train diffusion models for image and video generation on large GPU clusters.

    • Fully optimize and profile large distributed training runs across model architectures, kernels, data loading, memory constraints, and communication.

    • Implement and improve various distributed training strategies including FSDP, CP, SP, TP, and EP.

    • Continuously improve model quality and reliability through data, model architecture, training pipeline, structuring experiments, and eval design.

    • Debug distributed training errors and implement fault tolerance solutions, identifying bad GPU, NVLink, Infiniband (IB) components as well as monitoring numerical errors and NCCL issues.

    • Ablate different architecture, attention, optimizer, data, and algorithmic choices to reliably improve efficiency and performance of our models.

    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 proficiency in PyTorch and understanding of its inner workings.

    • Strong background in distributed training paradigms such as FSDP, CP, SP, USP, TP, and EP. Knowing how different parallelism strategies work together and their tradeoffs.

    • Experience in profiling and debugging large distributed training. Being comfortable with analyzing traces to identify bottlenecks and look for improvements.

    • Good knowledge of low precision training / inference in FP8, NVFP4, and MXFP8.

    • Solid understanding of diffusion model training pipeline across pretraining, midtraining, preference optimization, and reinforcement learning.

    • Keeping up with the developments in related fields such as LLM, VLM, representation learning, and robotics research.

    • Being comfortable working in a goal-oriented research environment.

    • Having good judgement around when one should explore different training strategies and when it's time to commit to a specific strategy to scale compute and data.

    • Comfortable working with underspecified goals. We expect every technical member to take an ambiguous research goal and break it down into concrete requirements, plans, experiment plan, and execution items.

    • Good research taste — bias towards simplicity and methods that scale well with compute, data, and minimal human supervision.

    • Ability to iterate rapidly, and propose creative research directions.

    • Be comfortable getting your hands dirty with data and designing custom data pipelines to improve data quality.

    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

    Job details are sourced from the employer's original posting.

    Open job posting
    KR

    About the company

    Krea

    Krea is building next-generation AI creative tools designed to make AI intuitive and controllable for creatives. Their mission is to empower human creativity with AI as a new medium for expression across various formats.

    View all Krea jobs
    Industry
    Artificial Intelligence
    Open roles
    12

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