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Scientist – Machine Learning

Large Language Models for Materials

Confirmed live in the last 24 hours

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Biotechnology firm creating health and sustainability solutions

Venture Capital

Senior, Expert

Cambridge, MA, USA

Applied Machine Learning
AI & Machine Learning
Required Skills
Data Science
  • Coding experience with large language models
  • Strong experience with prompt engineering
  • Hands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter-tuning deep learning models at scale
  • Experience in machine learning strategies like lifelong learning, online learning, incremental learning
  • Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem
  • Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models
  • PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field
  • Strong self-starter and independent thinker, with strong attention to detail
  • Demonstrated industry experience or academic achievement
  • Excellent communication and presentation skills
  • Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting
  • Fine-tune, scale and deploy large language models over scientific and patent literature for knowledge extraction in materials synthesis and performance
  • Utilize and develop new prompt engineering strategies in the materials domain
  • Use LLM-backed agents for lab orchestration, design of experimental assays, and optimization of process parameters for materials synthesis and testing
  • Contribute to a digital platform that can continually finetune models as more data becomes available
  • Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, writing publications, and developing relationships with key opinion leaders
  • Work with the computational team to identify materials design pathways that target desired functional properties and their synthesis
  • Work with the experimental team to drive material discovery and development
  • Report findings to stakeholders and leadership in written reports and verbal presentations.

Flagship Pioneering fosters a culture of groundbreaking advancements in biotechnology, emphasizing an ecosystem approach that synergizes human health and sustainability. Their business model not only focuses on creating transformative products but also incubates leading companies like Moderna and Indigo Agriculture, positioning them at the forefront of scientific innovation and industry leadership. This approach offers employees a unique opportunity to be part of a pioneering team that drives real-world impacts across multiple sectors.

Company Stage


Total Funding



Cambridge, Massachusetts