Machine Learning Engineer

1 week ago

Reston, Virginia, United States Acceler8 Talent Full time

Transformative Hardware Engineering Role

We are seeking a highly skilled Machine Learning Engineer to join our innovative team at Acceler8 Talent, where we are revolutionizing hardware engineering with cutting-edge AI models. As a key member of our team, you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.

About the Role

Your responsibilities will include structuring data for training complex models, optimizing both open-source and closed-source models under various constraints, and designing innovative search and retrieval algorithms. You will also implement and evaluate models while addressing challenging engineering constraints like latency and costly model inference.

Key Responsibilities

  • Develop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.
  • Structure data appropriately for training complex models.
  • Build and optimize both open-source and closed-source models, considering various constraints.
  • Design and execute innovative search and retrieval algorithms.
  • Create and implement model evaluations.
  • Address challenging engineering constraints such as latency and costly model inference.

Requirements

  • Strong understanding of NLP and LLMs.
  • Strong proficiency in PyTorch.
  • Proven track record of exceptional data engineering and AI capabilities.
  • Publications in top AI conferences and competitions.
  • Experience at leading AI companies and research labs.
  • Implemented research papers into production code.
  • Experience in complex ML domains.
  • Passion for solving challenging problems and a hunger to innovate.

Bonus

  • Experience with code generation models.
  • Background in reinforcement learning.
  • Passion for 0 to 1 challenges and demonstrated drive to excel in the field.

This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.

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