Machine Learning Researchers (Generative AI) - Open Level

FL97-posted about 1 year ago
Full-time • Entry Level
Cambridge, MA
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Lila Sciences is seeking experienced Machine Learning Researchers specializing in Generative Biology to join their innovative team. This role involves training and fine-tuning advanced models on real-world lab data, collaborating with experts in biology and automation to enhance scientific research methodologies. The position is open to various levels, including Scientist, Senior Scientist, and Principal Scientist, with titles determined by merit and experience.

  • Design and implement generative models tailored for biological sequences, structures, and molecular modalities.
  • Integrate domain-specific constraints and priors into generative models to enhance biological plausibility and experimental viability.
  • Develop rigorous testing, documentation, and model benchmarking.
  • PhD in quantitative disciplines with contributions to research conferences or journals (e.g. NeurIPS, ICML, AAAI, ICLR).
  • Solid understanding of fundamental biology concepts and demonstrated ability to apply these to AI model development.
  • Expertise in ML frameworks (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).
  • Familiarity with state-of-the-art generative models for biological sequences, e.g., proteins, RNA, and DNA.
  • Experience designing biological sequences or molecular structures with demonstrated improvements in real world outcomes (e.g. stability, binding affinity, or functional specificity).
  • Access to advanced technology in AI experimental design and simulation.
  • Access to automated liquid handling and instrumentation.
  • Access to generative molecular design.
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