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# Machine Learning Scientist

- **Company:** TAHOE THERAPEUTICS, INC.
- **Location:** South San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Architectural Patterns, Artificial Neural Networks, Computational Biology, Machine Learning, NumPy, Tensorflow, Scientific Computating, SciPy, Pytorch, Deep Learning, Pandas, Stable Diffusion
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-scientist-tahoe-therapeutics-8146572

## About the Role

* 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)

## Description

* 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.
Benefits

 * 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. This position requires on-site presence at our South San Francisco office a minimum of three days per week.
We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates.


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