Direct message the job poster from DeepRec.ai

Hayley Killengrey Co-Founder and Managing Director USA @ DeepRec.ai #Hiring #DeepTech #MLOps #NLP #LLM #GenAI #Blockchain #Web3

Principal Machine Learning Scientist (Large Language Models)

Location: Onsite in Cambridge, Massachusetts, USA DeepRec.ai seeks a dedicated Principal level Machine Learning Scientist specializing in Large Language Models (LLMs), to join our client's innovative team in Cambridge, Massachusetts.

Key Responsibilities:

• Fine-tune, scale, and deploy large language models on scientific experimental data.
• Develop and implement new prompt engineering strategies.
• Utilize LLM-backed agents for various applications.
• Contribute to a digital platform for continuous model finetuning.
• 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.

Qualifications:

• Proficient in coding with large language models (e.g., GPT or other autoregressive LLMs).
• Strong background in prompt engineering.
• Experience in deploying and fine-tuning deep learning models at scale.
• 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.
• PhD in Computer Science, Applied Mathematics, or a related field with a focus on ML.
• Independent thinker with strong attention to detail.
• Demonstrated industry experience or notable academic achievement.
• Excellent communication and presentation skills.

Preferred Qualifications:

• Experience using AWS services.
• Experience integrating ML in experimental workflows. Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!

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Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering

Industries

Biotechnology Research