> Markdown version of [/jobs/ext/2768478-senior-ml-scientist-genai](https://www.wearedevelopers.com/jobs/ext/2768478-senior-ml-scientist-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Ml Scientist, Genai

- **Company:** Picsart
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Nvidia CUDA, Generalized Linear Model, Open Source Technology, Pytorch, Delivery Pipeline, Large Language Models, Generative AI, Information Technology, Slurm, TensorRT, Virtual Agents, Databricks
- **Published:** September 7, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ml-scientist-genai-en-madrid-ID-369834900

## About the Role

Ph.D. (or equivalent research experience) in Computer Science, Electrical Engineering, Mathematics, or a related field.
5+ years of experience delivering computer vision and generative AI models in production.
First-author publications or patents in top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or ICLR.
Deep expertise in PyTorch and CUDA.
Hands-on experience with diffusion models, GANs, and vision-language architectures.
Strong foundations in linear algebra, probability, optimization, and large-scale model training techniques (e.g., mixed precision, gradient checkpointing).
Good To Have
Contributions to open-source ML/CV projects or toolkits.

## Description

At Picsart, we bring the wonder of creativity to the world and make it easy. As a Senior ML Scientist on our Generative Computer Vision team, you'll help invent and deploy breakthrough generative AI capabilities for millions of creators globally. Your work will shape the future of visual expression by building state-of-the-art tools at the intersection of research and real-world impact.How You'll Make an ImpactInvent and publish advanced diffusion, transformer, and multimodal text-to-image/video models, including high-resolution generation (up to 16K).Build innovative features for image/video retouching, effects, quality enhancement, and avatar generation.Develop and optimize training and inference pipelines with use of data parallelism, quantization, distillation, TensorRT.Design, build, and maintain training and evaluation workflows using PyTorch 2.x, DataBricks, and SLURM.Create human-in-the-loop evaluations including side-by-side visual comparisons and technical metrics calculation.Collaborate closely with product, design, and engineering teams to ship research-driven features at scale.Tune/Train custom LLM models for the Picsart AI Assistant (Qwen, LLama, GLM and others).What You'll BringPh.D. (or equivalent research experience) in Computer Science, Electrical Engineering, Mathematics, or a related field.5+ years of experience delivering computer vision and generative AI models in production.First-author publications or patents in top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or ICLR.Deep expertise in PyTorch and CUDA.Hands-on experience with diffusion models, GANs, and vision-language architectures.Strong foundations in linear algebra, probability, optimization, and large-scale model training techniques (e.g., mixed precision, gradient checkpointing).Good To HaveContributions to open-source ML/CV projects or toolkits.#LI-MS1


## Related Videos

- [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated)
- [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms)

## Related Articles

- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)