Founding Research Scientist (Computer Vision)

Thuli Studios; Boston (MA); Remote; USD 150,000 - 200,000; Full time

Job summary

Thuli Studios is seeking a Founding Research Scientist in Computer Vision to lead AI advancements for virtual try-on experiences in their innovative jewelry marketplace. The role requires a strong background in generative AI, design of volumetric rendering techniques, and collaboration with cross-functional teams to develop and deploy cutting-edge applications. Ideal candidates will possess an MS or PhD and have proven experience in applying complex AI research practically.

Benefits

Remote work arrangement

Opportunity to shape AI-commerce venture

Qualifications

• Hands-on experience with NeRF, Gaussian Splatting and similar technologies.
• Proficient in deep learning frameworks such as PyTorch or JAX.
• Experience in training and optimizing generative AI models.

Responsibilities

• Spearhead development of generative AI techniques for virtual try-on experiences.
• Design, build, and enhance sophisticated generative models.
• Work with founders to integrate AI solutions into products.

Skills

Python

Generative AI

Computer Vision

Deep Learning

Machine Learning

NeRF

Gaussian Splatting

Problem Solving

Education

MS or PhD in Computer Vision, Computer Graphics, Machine Learning, or related fields

Tools

PyTorch

JAX

Job description

Founding Research Scientist (Computer Vision)

Founding Research Scientist (Computer Vision)

Direct message the job poster from Thuli Studios

DYLA* is a mobile-first, AI-native jewelry marketplace app for India—$100B+ market that’s still largely offline. We are reimagining online jewelry shopping to make it modern, seamless, and deeply personal for everyone. Big picture: we are redefining how people shop for fashion online—starting with jewelry, one vertical at a time.

About the Role:

As a Founding Research Scientist, you'll spearhead the development of advanced generative AI techniques and novel rendering methods to power our unique virtual try-on experiences for online fashion, starting with jewelry. All candidates must love experimenting and be driven to translate complex research into real-world applications.

• Design, build, and fine-tune sophisticated generative models and immersive volumetric rendering techniques such as NeRF and Gaussian Splatting.

• Lead pioneering research and experimentation to translate theoretical advances into groundbreaking product features.

• Develop robust data processing and training pipelines for large-scale visual datasets.

• Continuously enhance models by integrating feedback-driven refinements to achieve high-quality, personalized outputs.

• Innovate across 3D avatar generation, virtual fitting accuracy, and real-time interactive rendering.

• Work closely with founders and cross-functional teams to ensure seamless integration and deployment of AI solutions.

• MS or PhD in Computer Vision, Computer Graphics, Machine Learning, or related technical fields.

• Must have proven hands-on experience with NeRF, Gaussian Splatting, or similar volumetric rendering technologies.

• Extensive experience in training and optimizing generative AI models, especially diffusion-based methods.

• Proficient in Python and deep learning frameworks such as PyTorch or JAX.

• A demonstrated track record of independently implementing complex ML research and optimizing training pipelines.

• Passionate about pushing boundaries in AI and creative visual technologies.

• Thrive in an autonomous, fast-paced startup setting, demonstrating proactive problem-solving and adaptability.

• Experience building consumer-facing AI applications or virtual try-on systems.

• Familiarity with computational photography or other immersive digital experiences.

• Opportunity to be an early contributor shaping an AI-commerce venture from the ground-up
• Remote work arrangement to support flexibility

Excited to redefine online fashion shopping experience? Let's build the future together!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  Software Development

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