---
title: 'ML Researcher - Posttraining at Krea'
canonical: 'https://feeny.ai/job/ml-researcher-posttraining-krea-san-francisco-je648m0mv2k4'
type: 'job'
last_seen: '2026-09-08'
---

# ML Researcher - Posttraining at Krea

- **Company:** Krea
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/krea/04d2889b-3cd6-498c-9653-0cd2e2d505fe

## 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 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

## Company Overview
- **One-liner**: Krea builds an AI-powered creative suite for generating, editing, and enhancing images, video, and 3D assets in real time.
- **Entity Type**: Private (Series B – $83M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available (blogs indicate operations began roughly 2023–2024)
- **Founders**: Victor Perez, Diego Rodriguez

## Core Business
- **Industries**: Creative AI, generative media, artificial intelligence
- **Target customers**: B2C (individual creatives, enthusiasts) and B2B (enterprise teams at companies like Pixar, LEGO, Samsung, Shopify, Microsoft)
- **Mission / purpose**: “Make AI feel intuitive and natural by giving creators full control over their process” and “multiply human creativity”

## Products & Services
- **Krea AI Suite (Image Generation)**: Native 4K image generation with 1,000+ styles, 20+ models, 3-second generation speed for a 1024px Flux image.
- **AI Video Generation**: Access to top models (Veo 3, Kling, Hailuo, Wan, Runway) with intuitive interface for social media clips, animations, and edits.
- **AI 3D Generation**: Text-to-3D and 3D object manipulation within images.
- **Real-Time Rendering**: Market‑leading real‑time image generation (<50ms) and real‑time video with frame consistency.
- **Image & Video Upscaling**: Upscale images up to 22K resolution and videos up to 8K at 120fps (includes Topaz Photo/Gigapixel).
- **LoRA Fine-tuning**: Train custom image or video models with a few images for style, character, or object consistency.
- **Generative Editing**: Add/remove objects, merge images, change expressions or lighting using 10+ editing models.
- **Enterprise Product (upcoming)**: SOC 2 Type II and ISO 27001 compliant, designed for enterprise teams.

All offerings are SaaS, accessible via web browser.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: **$83M total funding** (Series B led by Bain Capital Ventures, April 2025)
- **Notable Investors / Partners**: Bain Capital Ventures (Series B lead), Andreessen Horowitz (Series A), Pebblebed (seed), Abstract Ventures (seed), plus early backers HF0, A*, Gradient Ventures. Enterprise clients include Pixar, LEGO, Samsung, Shopify, Microsoft.
- **Growth Signals**:
  - 30+ million users across 191 countries (organic growth)
  - 20x revenue growth on a team of 8 originally
  - 50+ major product updates rolled out
  - Team expanded from 8 to 17 (as of April 2025); new ocean-view office in SF
  - Adoption by major studios and brands

## Competitive Advantages
- **Model aggregation**: One subscription unlocks 64+ models (Flux, Wan2.1, Veo 2, Kling, Hailuo, etc.) – no need to maintain separate subscriptions.
- **Industry‑fastest inference**: 3s for a 1024px Flux image at FP16; real‑time generation <50ms.
- **Interconnected workflows**: Generate an image → upscale → convert to video → add sound – all in one tool, with editable “knobs and dials” at every step.
- **Community‑driven development**: Ships new features every Thursday; product built by listening to users first, then building.
- **Integrated LoRA training**: Train custom models directly in the browser without hosting weights externally.

## Strategic Focus
- **Research**: Krea AI Research Lab focusing on aesthetics, controllability, and hyper‑personalization.
- **Product roadmap**: Release of a new generation of aesthetic models with deeper artistic understanding and novel control modules that go beyond text prompts.
- **Enterprise expansion**: Launch enterprise product with compliance certifications (SOC 2, ISO 27001).
- **Multimodal future**: Developing infrastructure for generating immersive, real‑time environments (like videogames).

## Why Work Here
- **Culture**: Small, highly talented team (currently 17) that lives and breathes creativity – founders and many team members are musicians, poets, designers, videographers; “The team behind Krea is the work of a small, talented group of imaginative, incredibly dedicated people.”
- **Engineering & research**: Engineers from MIT, Princeton, UC Berkeley, University of Chicago; authors of state‑of‑the‑art models (Lumina, Anifusion). Freedom to do own research after building products for the community.
- **Work environment**: New office with Pacific Ocean views in San Francisco; majority of team shares a living space (noted early‑stage).
- **Velocity**: Weekly Thursday releases, exposure to cutting‑edge AI models, direct impact on a product used by millions.
- **Open roles**: Listed at [jobs.ashbyhq.com/krea](https://jobs.ashbyhq.com/krea). Ideal candidate is “deeply technical, artistically opinionated.”

## Sources
1. [krea.ai – Product & Pricing](https://www.krea.ai/)
2. [Bloomberg – Krea AI Inc Company Profile](https://www.bloomberg.com/profile/company/2562987D:US)
3. [Krea Blog – “A New Krea” (Series B announcement)](https://www.krea.ai/index/new-krea)
4. [Andreessen Horowitz – “Investing in Krea”](https://a16z.com/announcement/investing-in-krea/)
5. [Krea Careers Page](https://jobs.ashbyhq.com/krea)

## Other roles at Krea

- [ML Researcher - Image / Video Diffusion](https://feeny.ai/job/ml-researcher-image-video-diffusion-krea-san-francisco-q0z8r0s4arnw) — San Francisco, CA
- [Product Engineer](https://feeny.ai/job/product-engineer-krea-san-francisco-a1c64g6r1rzn) — San Francisco, CA
- [Fullstack Engineer](https://feeny.ai/job/fullstack-engineer-krea-san-francisco-s725r01bry0f) — San Francisco, CA
- [Founding Customer Success Manager](https://feeny.ai/job/founding-customer-success-manager-krea-san-francisco-n3a6rmtt84x2) — San Francisco, CA
- [Account Executive, API + Open Source](https://feeny.ai/job/account-executive-api-open-source-krea-san-francisco-859tkyrr1gz4) — San Francisco, CA
- [Software Engineer, Backend](https://feeny.ai/job/software-engineer-backend-krea-san-francisco-m7qrcgfqcrp2) — San Francisco, CA
- [Creative Lead](https://feeny.ai/job/creative-lead-krea-san-francisco-c2v2y0dcfzwv) — San Francisco, CA
- [Engineer, Supercomputing & Distributed Systems](https://feeny.ai/job/engineer-supercomputing-distributed-systems-krea-san-francisco-pb5gr7p7bw1f) — San Francisco, CA
- [Account Executive](https://feeny.ai/job/account-executive-krea-san-francisco-padwn23g3rbp) — San Francisco, CA
- [ML Engineer - Personalization & Recommendation Systems](https://feeny.ai/job/ml-engineer-personalization-recommendation-systems-krea-san-francisco-k0pnwba3rmtc) — San Francisco, CA