Senior Research Engineer

4 days ago


California, United States Acceler8 Talent Full time

About Us:

Acceler8 Talent is revolutionizing the hardware engineering landscape with a groundbreaking foundation model designed to dramatically enhance the design process. Our mission is to transform the industry with a model that can autonomously create cutting-edge hardware designs, pushing the boundaries of efficiency and affordability.

Key Responsibilities:

  • Develop and evaluate extensive systems comprising interconnected Large Language Models (LLMs), Multi-Modal Models (MMMs), and Reinforcement Learning (RL) models.
  • Structure data appropriately for training and ensure seamless integration with both open-source and closed-source models.
  • Design and execute innovative search and retrieval algorithms for the domain, considering constraints such as latency and costly model inference.
  • Conduct thorough model evaluations and provide actionable insights for improvement.

Requirements:

  • 3-4 years of industry experience in training Machine Learning models.
  • Publishing research papers in top AI conferences and competitions.
  • Experience working in complex ML domains with a background in hardware engineering.
  • Proven track record of implementing research papers into production.

Keywords: Lead ML Research Engineer, Machine Learning, LLM's



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