Machine Learning Researchers, LLM

1 month ago


Cambridge, Massachusetts, United States Flagship Ventures Full time
Transforming Science with AI

Flagship Ventures is pioneering the application of artificial intelligence to transform every aspect of the scientific method. We are seeking experienced Machine Learning Researchers to join our team and contribute to the future of science.

The Role

We are looking for creative and talented Machine Learning Researchers to join our agile, cross-functional team responsible for training state-of-the-art, large-scale models on the scientific corpora, fine-tuning models with feedback, and integrating multimodal scientific data.

Key Responsibilities
  • Design, train, and fine-tune large language models (LLMs) for use in specific domains
  • Leverage NLP tools to solve real-world problems requiring sequential decision making
  • Implement rigorous testing, documentation, and model benchmarking
Qualifications

We are seeking candidates with a strong background in machine learning, including:

  • PhD in computer science, applied mathematics, physics, computational biology, or other quantitative disciplines
  • 5+ years of experience in developing deep learning and/or NLP models
  • Contributions to research conferences or journals (e.g., NeurIPS, ICML, AAAI, ICLR)
  • Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem
  • Experience in training and deploying ML models on distributed computing services (e.g., AWS/GCP/Azure, or clusters)
What We Offer

As a Machine Learning Researcher at Flagship Ventures, you will have access to advanced technology in the areas of AI experimental design and simulation, automated liquid handling and instrumentation, and generative molecular design.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

We recognize that experience comes in many forms, and skills are transferable. If you have some of the experience listed above but not all, please apply anyway.



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