krea.ai

About Krea At Krea, we are building next generation AI creative tools. We are 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. This job Robust, reliable, and scalable distributed systems form the backbone of Krea. These systems support the infrastructure that powers our AI research, real time user experiences, and large scale model deployments. As a Distributed Systems Engineer, you will design, build, and maintain large scale distributed infrastructure to reliably support AI research and real time model serving. You will own and scale our multi thousand node Kubernetes GPU clusters, ensuring efficient and fault tolerant operations. You will collaborate closely with ML engineers and researchers to architect systems that enable rapid experimentation and deployment. You will improve network architecture, optimize load balancing, and streamline operational practices across multi zone cloud deployments. Responsibilities Design, build, and maintain large scale distributed infrastructure to reliably support AI research and real time model serving. Own and scale our multi thousand node Kubernetes GPU clusters, ensuring efficient and fault tolerant operations. Collaborate closely with ML engineers and researchers to architect systems that enable rapid experimentation and deployment. Improve network architecture, optimize load balancing, and streamline operational practices across multi zone cloud deployments. Example Projects Own and manage a large scale Kubernetes cluster designed to run extensive ML training and inference workloads. Architect fault tolerant systems ensuring uninterrupted model training and real time inference despite individual node failures. Develop and implement optimized load balancing strategies to efficiently distribute workloads across zones. Create comprehensive monitoring, alerting systems, and operational playbooks for high availability clusters. Migrate existing deployments to Infrastructure as Code (Terraform) for reproducibility and scalability. Setting up IP based rate limiting to prevent GPU abuse. Strong Candidates May Have Experience With Kubernetes at scale (thousands of nodes) Cloud infrastructure management (AWS/GCP/Azure) High performance and fault tolerant networking Low level Linux interfaces and administration Debugging complex distributed systems in production Python, Golang, Ruby, Rust, and similar systems languages Bonus: Infrastructure as Code (e.g. Terraform) About Us We're building AI creative tooling. We've raised over $83M from the best investors in Silicon Valley. We're a team of 12 with millions of active users scaling aggressively.

A leading AI creative tools company in San Francisco is seeking a Distributed Systems Engineer to design and maintain large-scale distributed systems. Responsibilities include managing Kubernetes GPU clusters and collaborating with ML engineers for real-time model serving. Ideal candidates should have experience with cloud infrastructure and fault-tolerant networking. This role offers an opportunity to work in an innovative environment.

Join to apply for the ML Engineer - Personalization & Recommendation Systems role at krea.ai. About Krea At Krea, we are building next-generation AI creative tools. We are 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. This Job We're looking for an ML Engineer to architect and build Krea's personalization and recommendation systems from scratch. You'll have full ownership over how we understand user taste, curate content, and adapt generative models to individual aesthetics. This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What You'll Do Architect and build Krea's personalization and recommendation stack from the ground up, owning the technical direction end to end. Design algorithms to model user preference and taste, enabling Krea's models to adapt to individual styles and aesthetics. Build high-quality, curated feeds that balance exploration, personalization, and aesthetic coherence. Work directly with the model and research team to co-design personalization mechanisms that influence how our generative models learn, adapt, and express style. Contribute to personalized image generation research, with a focus on style, taste and subjective quality. Collaborate closely with product, design, and research to define what "good personalization" means in a creative context. Take systems from research and prototyping through production, iteration, and continuous improvement. What We're Looking For Strong experience building recommendation systems or personalized feeds from scratch. Proven ability to design and ship high-quality curated content experiences. Experience working with media-based personalization (image, video preferred; music or other modalities also welcome). Solid foundations in machine learning, representation learning, and modern deep learning techniques. Strong Python skills and experience with ML frameworks such as PyTorch or JAX. Ability to operate independently, make architectural decisions, and own complex systems end to end. Bonus points Experience with large-scale data systems and production ML infrastructure. Prior work on or familiarity with diffusion models or generative image systems. Background in embeddings, similarity search, ranking, or aesthetic evaluation. Interest in creative tools, art, design, or generative media. What we offer Openness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3). Work alongside a world-class team building the future of AI creative tooling. Significant scope and company-wide impact. Competitive compensation (75th percentile of market) with meaningful equity. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Artists and Writers

A leading AI creative tooling company in California is seeking an ML Engineer to create and manage their personalization and recommendation systems. The ideal candidate will have strong experience in building personalized feeds, proficiency in Python, and a solid foundation in machine learning. Responsibilities include shaping user experience through tailored content, collaborating with multiple teams, and contributing to generative media research. The position offers competitive compensation and opportunities for international sponsorship.