Machine Learning Scientist, Automated Image Analysis

Cambridge, MA USA

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

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• Develop and optimize ML models for analyzing microscopy and spectroscopy image data (e.g., SEM, TEM, AFM, optical imaging).
  
• Automate feature extraction to quantify morphology, structure, defects, and diverse material properties.
  
• Collaborate with chemists, physicists, and software engineers to integrate imaging pipelines into Lila’s platforms.
  
• Build scalable data preprocessing, augmentation, and labeling workflows for diverse scientific image datasets.
  
• Validate model performance against experimental benchmarks and continuously improve interpretability.
  

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• Advanced degree (PhD or MS) in Computer Science, Physics, Materials Science, Chemistry, or related field.
  
• Strong proficiency inPython and modern ML frameworks (PyTorch, TensorFlow, or JAX).
  
• Hands-on experience with state-of-the-artcomputer visiontechniques spanning diverse tasks (classification, object detection, segmentation) and architectures (CNNs, transformers, diffusion models).
  
• Familiarity withscientific imaging data(microscopy, spectroscopy, or similar).
  
• Strong track record of deploying ML models for real-world image analysis tasks.
  

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• Experience withmultimodal ML(combining imaging with spectroscopy or tabular data).
  
• Familiarity withself-supervised or foundation modelsfor vision tasks.
  
• Knowledge ofscientific data formats(HDF5, NetCDF, TIFF stacks) and scalable pipeline development.
  
• Contributions toopen-source ML or scientific imaging projects.
  

Lila Sciences is 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.

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.