Senior Large Language Model Research Scientist

1 week ago


Cambridge, Massachusetts, United States DeepRec Full time
About the Role

DeepRec is seeking a highly skilled Principal Large Language Model Research Scientist to join our team in Cambridge, Massachusetts. As a key member of our research team, you will be responsible for developing and deploying large language models on scientific experimental data.

Key Responsibilities
  • Fine-tune and deploy large language models on scientific experimental data to drive business growth and innovation.
  • Develop and implement new prompt engineering strategies to improve model performance and efficiency.
  • Utilize LLM-backed agents for various applications, including material discovery and development.
  • Contribute to a digital platform for continuous model fine-tuning and improvement.
  • Stay informed on the latest ML research through literature reviews, conferences, publications, and networking.
  • Collaborate with the experimental team on material discovery and development.
  • Report findings to stakeholders and leadership to drive business decisions.
Qualifications
  • Proficient in coding with large language models (e.g., GPT or other autoregressive LLMs).
  • Strong background in prompt engineering to improve model performance.
  • Experience in deploying and fine-tuning deep learning models at scale to drive business growth.
  • Proficient in machine learning strategies like lifelong learning and incremental learning.
  • Skilled in ML frameworks (PyTorch/TensorFlow/Jax) and the Python data science ecosystem.
  • Experience with cloud computing services to improve model deployment and scalability.
  • PhD in Computer Science, Applied Mathematics, or a related field with a focus on ML.
  • Independent thinker with strong attention to detail to drive business growth and innovation.
  • Demonstrated industry experience or notable academic achievement to drive business decisions.
  • Excellent communication and presentation skills to report findings to stakeholders and leadership.
Preferred Qualifications
  • Experience using AWS services to improve model deployment and scalability.
  • Experience integrating ML in experimental workflows to drive business growth and innovation.


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