Creative Technologist at StabilityAi

, , United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative Media, Image Models, UNet, DiT, Python, Machine Learning, Linux, CUDA, PyTorch, E-commerce, VFX, Creative Assets, Datasets, Cross-Functional Collaboration, Model Optimization, Applied Research

Industry

Research Services

Description

About the Role We are seeking a highly motivated Applied Research Scientist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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Responsibilities

The role involves collaborating with the Applied Research team to develop generative media solutions, focusing on image models. Additionally, the candidate will work directly with customers to design and deliver customized models and workflows for various visual media applications.