Research Scientist

Summary

Join IntelliPro as a Research Scientist and contribute to cutting-edge Generative AI research. This full-time position, based in Palo Alto, CA, offers a competitive salary range of $200,000-$300,000. The role focuses on training generative AI models across various modalities (video, image, text, audio), leveraging foundational models for applications like editing and controlled generation. You will also work on reinforcement learning for model tuning, efficient training/inference techniques on large-scale systems, and data curation for model training. Proficiency in deep learning frameworks (PyTorch/Jax) is essential. While primarily on-site, remote work may be considered for the right candidate.

Requirements

• Proficiency in deep learning frameworks such as PyTorch and/or Jax
• Training generative AI models in modalities such as video, image, text, and audio
• Unlocking the power of foundational models for interesting applications, such as editing and controlled generations
• On-policy or off-policy reinforcement learning for model tuning
• Efficient training and / or inference techniques on large-scale distributed systems
• Data curation and processing for pretraining and fine-tuning
• At least one research project related to Generative AI in which you played a major role
• A strong research track-record related to Generative AI, such as LLMs, diffusion models, data and distributed systems

Responsibilities

• Train generative AI models in modalities such as video, image, text, and audio
• Unlock the power of foundational models for interesting applications, such as editing and controlled generations
• On-policy or off-policy reinforcement learning for model tuning
• Efficient training and / or inference techniques on large-scale distributed systems
• Data curation and processing for pretraining and fine-tuning