Machine Learning Research Intern (Summer 2026) at Tahoe… · South…

Summary: Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery. As a Machine Learning Research Intern, you will join the ML team to develop and evaluate perturbation prediction models on large-scale single-cell datasets. Responsibilities: - Work closely with the team to advance the state-of-the-art in deep learning models for perturbation effect prediction - Contribute across our full ML stack: data processing, model training, evaluation, leaderboards, and external APIs Required Qualifications: - Currently enrolled in a degree (undergraduate, Master's, or PhD) in CS, ML, computational biology, or a related field - Strong fundamentals in deep learning with hands-on experience in PyTorch, JAX, or TensorFlow - Experience training modern deep learning architectures (Transformers, diffusion models, state-space models, etc.) through research or course projects Preferred Qualifications: - Systems level familiarity with model throughput optimization and GPU kernels is a plus - Exposure to ML for biological data is a plus, but not required Required Skills: Deep learning, PyTorch, TensorFlow Important Skills: JAX, Model optimization, Modern architectures Nice-to-Have Skills: Computational biology, Biological data exposure Internship Start Date: Start in 2026 Summer Benefits: Work directly with a world-class ML team on high-impact research, with access to cutting-edge compute, Daily lunch