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Senior Machine Learning Scientist

Tahoebio-ai
South San Francisco, USA
Full-time
Senior
Onsite
USD 200000-275000 yearly / year
Discovered 1 months ago
PyTorchJAXTensorFlowNumPySciPyPandas

Full Job Posting

  • PhD or equivalent practical experience in a technical field.
  • A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models.
  • Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas).
  • A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action.
  • Prior experience with ML applied to problems in biology or chemistry.
  • Familiarity with multimodal modeling, contrastive learning or self-supervised learning.
  • Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention)
  • Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq.
  • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets.
  • Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses.
  • Unlimited Paid Time Off (PTO).
  • Monthly Lunch budget.
  • One-time Office set up budget.
  • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents.

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