Rise Technical

Applied Research Scientist

Rise Technical New York, NY

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Rise Technical provided pay range

This range is provided by Rise Technical. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Direct message the job poster from Rise Technical

Applied Research Scientist

$150,000 to $250,000 + Equity + Benefits + PTO

Hybrid – New York OR San Francisco – United States


Are you an Applied Research Scientist with a background in model fine-tuning, and looking to work in a fast growing start-up with a chance to obtain progression into management?


This is an incredible opportunity to join a start-up with 8 figure funding, where you will be able to work alongside passionate engineers and leading researchers to create groundbreaking and truly innovative technology.


My client is a seed stage company that is developing an AI-powered platform, that enables users to create dynamic character videos by transforming text, images, or voice inputs into animated content. Through its cutting-edge AI models, it enables the creation of lifelike and customizable human characters.


As an Applied Research Scientist, you will fine-tune pre-trained 3DVAE and video diffusion models, develop and implement strategies for efficient model adaptation, and assess and benchmark the performance of fine-tuned models using video generation-specific metrics.


This is great chance to join a well-funded start-up with strong momentum, in a role that allows you to work with top researchers and engineers, whilst developing a product with huge potential and benefiting from fast-tracked career progression.


The Role:

* Start-up with 8 figure seed funding and strong revenues

* Fine-tune pre-trained 3DVAE and video diffusion models,

* Design and apply strategies for efficient model adaptation, including data augmentation and transfer learning, to enhance performance.

* Analyze and benchmark the performance of fine-tuned models using video generation-specific metrics.

* Strong progression opportunities


The Person:

* Strong experience with 3DVAE and video diffusion models

* Experience with Python, PyTorch OR TensorFlow

* Master’s degree or PhD in Computer Science, Machine Learning, or a related field, with a focus on data-driven ML.

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Science and Information Technology
  • Industries

    Technology, Information and Media

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