Krea

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 https://www.krea.ai/blog/krea-2-image-model, 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. WHAT YOU'LL DO You'll work across the whole backend: the SvelteKit app and its Postgres, Redis, and ClickHouse data layer, the Python services that run our ML inference, and the Kubernetes clusters that tie it together across multiple cloud and GPU providers. You'll own these systems end-to-end, from design through to running them in production. A SAMPLE OF WHAT WE'RE WORKING ON RIGHT NOW: - Durable execution for long-running workflows. Building the state machines, idempotency, and retry semantics that keep multi-step inference jobs correct when they take minutes to finish and anything can fail mid-flight - Improving our public API. Designing a clean, well-documented API surface with OpenAPI docs auto-generated from our Zod schemas - Enterprise product features. ACLs, audit logs, entitlements, and all the "boring" features that organizations with a thousand users expect WHAT WE'RE LOOKING FOR We care more about first-principles engineering than which languages or tools you happen to know - You've owned real production systems end-to-end: design, monitoring, metrics, incidents. Ideally you have 4–8 years of experience, but we care about scope and judgment over the number on your resume - You're comfortable across the stack and unfazed by unfamiliar code, and you have opinions about how to architect things that scale - You write and talk clearly, and you're happy working without a lot of PM hand-holding Bonus if you: have GPU or infra experience, have run Kubernetes in production, or come from a creative background. A lot of us do, and it helps when you're building tools for creatives (but it's genuinely not a requirement). OUR STACK - SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD. 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

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 https://www.krea.ai/blog/krea-2-image-model, 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 product engineer to help take sub-products already driving significant revenue and make them more robust, while shipping new product surfaces for our creative users. You'd work primarily in SvelteKit (React experience also fine), touching Postgres/Redis/ClickHouse, with occasional reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as needed. WHAT YOU'LL DO - Build real-time collaboration and canvas tooling (e.g. WebGL2/WebGPU for our node-based tools & CRDTs) - Ship durable execution for long-running workflows and public APIs (OpenAPI docs auto-generated from Zod schemas) - Reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as features require it - Own cross-service metrics, tracing, and observability for the features you ship WHAT WE'RE LOOKING FOR - 4+ years of experience, ideally with 1+ years contributing to a product with millions of users - Real, significant Svelte or React experience - this isn't a pure-backend role - Strong first-principles thinking and product sense over attachment to any specific framework - Comfort owning things end-to-end, from idea to shipped, measured impact - Clear written and verbal communication - Taste - a strong, well-developed point of view on what good creative work looks like Nice to have - Python/PyTorch or GPU-backed ML inference experience - A creative background (design, art, architecture, or similar) OUR STACK - SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD 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

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 https://www.krea.ai/blog/krea-2-image-model, 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. SUPERCOMPUTING / AI INFRA AT KREA We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch — custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale. EXAMPLE PROJECTS: DISTRIBUTED DATA SYSTEMS - Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets - Run classification models on billions of images - Deploy and combine LLMs to caption massive multimedia data GPU INFRASTRUCTURE - Manage distributed training and inference on 1000+ GPU Kubernetes clusters - Solve orchestration and scaling for large-scale GPU job processing - Scale workloads and research between clusters in multiple datacenters DISTRIBUTED TRAINING - Profile and optimize dataloaders streaming thousands of images per second - Profile and debug InfiniBand networking on huge training runs - Build fault tolerance systems for large-scale pretraining - Collaborate with researchers on evolving RL infrastructure APPLIED ML PIPELINES - Find clean scenes in millions of videos using distributed shot-boundary detection - Customize and train models to filter billions of images for questions like "is this a screenshot?" - Build the systems that bridge raw cluster capacity and research output WHO WE'RE LOOKING FOR Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought "I want to do that" — this is that team. You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience — the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions. STRONG CANDIDATES MAY HAVE EXPERIENCE WITH… - Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy… - Kubernetes - Designing and implementing large-scale ETL systems - Fundamental knowledge of containerization, operating systems, file-systems, and networking - Distributed systems design - Distributed training systems (NCCL, InfiniBand, RDMA) - Streaming and event processing systems (Kafka, Pulsar, or similar) - PyTorch internals, custom dataloaders, and training infrastructure 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

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 https://www.krea.ai/blog/krea-2-image-model, 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

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 https://www.krea.ai/blog/krea-2-image-model, 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 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 our 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 NICE TO HAVE - 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 - 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

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 https://www.krea.ai/blog/krea-2-image-model, 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 someone with deep experience in large-scale finetuning of diffusion models and posttraining techniques. We have loads of high-quality data and aim to enhance the quality and aesthetics of the models we're building. 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 - Finetune diffusion models at scale to improve image aesthetics and quality. - Implement posttraining techniques ranging from supervised finetuning, preference optimization, reinforcement learning, on-policy distillation, and various distillation / acceleration techniques. - Design comprehensive eval suites and reward designs for the reinforcement learning stage focused on image space. - Train custom VLM as reward models as part of our reward design. - Train custom LLMs for prompt expansion through finetuning and reinforcement learning. - Coordinate with data teams and partners to manage collection of preference data and model evaluation results. - Work on safety alignment of our models for open source release. - Collaborate with our AI research and engineering teams to integrate advancements into our products. WHAT WE'RE LOOKING FOR - Proven work of posttraining diffusion models for image or video generation. - Experience with large-scale model training, inference, and optimization. - Strong understanding of both LLM and diffusion post training pipelines and algorithms such as PPO, GRPO, DPO, OPD, and MOPD. - 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. - Good knowledge of low precision training / inference in FP8, NVFP4, and MXFP8. - Good understanding of algorithms and techniques used in fast inference engines such as vLLM and sglang as well as existing RL frameworks in LLM space such as slime, miles, tinker, and verl. - Understanding of various RL infrastructure and optimization techniques such as async RL, fast weight transfer, pipelining rollouts, managing off policy data. - Ability to monitor model regression and identify weak areas and turn them into concrete evals and reward design. - Experience training VLM models. Many of our custom reward models use VLM to provide reward signals for our models. - 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. 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

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 https://www.krea.ai/blog/krea-2-image-model, 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