Machine Learning Scientist

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Originates biotech ventures for health and sustainability

Venture Capital


Cambridge, MA, USA

Required Skills
Data Science
  • Coding experience with large language models (e.g. GPT or other autoregressive LLMs)
  • 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 (Numpy, SciPy, Pandas, etc.)
  • 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, capable of conveying technical information in a clear and thorough manner
  • 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 stands out as a leader in the biotechnology industry, having originated and nurtured over 100 scientific ventures, including high-profile companies like Moderna and Indigo Agriculture. The company's culture is rooted in developing transformative products for human health and sustainability, as evidenced by their creation of platform companies like Generate Biomedicines and Tessera Therapeutics. Their competitive edge lies in their ability to explore new frontiers in genetics, as demonstrated by their recent unveiling of Quotient Therapeutics, a venture aimed at creating transformative medicines.

Company Stage


Total Funding



Cambridge, Massachusetts



Growth & Insights

6 month growth


1 year growth


2 year growth