Founding Machine Learning Scientist

Remote or San Francisco, 

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Job's description

Hey there! Thank you so much for your interest in this role. We are excited to have you as part of the GenerAI team. We are a startup that will always push the status quo of machine learning and data science. We are a young and ambitious team with a passion for building great products that provide value to our users. We get excited about shaping the future of the integration between the creator economy and machine learning. If this excites you, then keep reading. Get ready to join GenerAI đŸ€ŒđŸ

GenerAI is a startup that is looking to generate optimally targeted synthetic media content using multimodal diffusion modeling and other deep learning techniques. We work extensively with research labs, specifically from Harvard.

We’re looking for a Machine Learning Engineer to join GenerAI as one of its founding engineers! This role will be completely remote.

- Set up production-grade data pipelines and preprocessing infrastructure for text-video training.
- Improve on and research generative modeling for video content.
- Collaborate with industry leaders/academics that are part of our team.
- Build robust and scalable models.
- Help launch the beta for the synthetic media generation model.
- Help lead state of art in video generative modeling.
- Iterate quickly while maintaining quality standards.
- Aim to create a more effective content generation model that outperforms human beings.
- Explore other deep learning techniques for generative modeling.

Required Experience

- Five or more years of industry or academic experience in deep learning.
- Experience in Python or C++
- Publications in reputed peer-reviewed conferences in the relevant field (ICML, ICLR, NeurIPS, CPVR, ICCV, and or JMLR)
- Ph.D. in computer science, mathematics, physics, statistics, or a related technical field.


-Top of market pay and stock benefits compared to industry standards.

-401k, health insurance, dental, and vision.

-Unlimited PTO.

-Completely remote.

-We strongly recommend that you work on a research project of your interest on Fridays.


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