Altos Labs

About the Company

Altos Labs is a biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. The company comprises a community of leading scientists, clinicians, and leaders from academia and industry working together towards this common mission.

Altos operates in the San Francisco Bay Area, San Diego and Cambridge, UK.

Note: Altos Labs will not ask you to download a messaging app for an interview or spend your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate or a practice within our organization.

Listed Jobs

Company Name

Altos Labs

Job Title

Senior / Principal Machine Learning Scientist

Job Description

Job title: Senior / Principal Machine Learning Scientist Role Summary: Leads cutting‑edge generative AI/ML research to model multi‑modal biological data for cell health and rejuvenation. Drives technical vision, develops large‑scale ML systems, and mentors a multidisciplinary team. Expactations: • Design and publish novel ML methods (generative, causal, diffusion, transformer architectures) to address cell biology challenges. • Translate theoretical advances into high‑impact applications for drug target discovery and cellular perturbation prediction. • Own end‑to‑end ML lifecycle: data strategy, model design, training, evaluation, and deployment. • Mentor and elevate scientific rigor across ML scientists and engineers. • Foster collaboration with computational biology, systems biology, and translational research groups. Key Responsibilities: - Pioneer new ML methodologies and statistical frameworks for multi‑modal, multiscale biology. - Design, implement, and optimize large‑scale ML pipelines using PyTorch/JAX and agile practices. - Develop distributed training strategies across multi‑GPU clusters to handle terabytes of data. - Integrate multi‑modal data and map cross‑domain relationships for actionable insights. - Apply computational approaches to drug target identification, compound assessment, and cellular response prediction. - Guide the full ML development lifecycle and mentor junior ML talent. - Contribute to the Institute of Computation’s long‑term technical vision and research strategy. Required Skills: - 6+ years post‑PhD experience in high‑performance ML/AI research; proven record of peer‑reviewed publications (NeurIPS, ICML, ICLR, etc.). - Deep expertise in generative models, transformers, diffusion models, causal inference, Bayesian reasoning, transfer/multi‑task learning, graph neural networks, or related advanced methods. - Strong programming proficiency in PyTorch, TensorFlow, or JAX; experience writing production‑grade code. - Competence in multi‑GPU and distributed training at scale. - Excellent scientific communication (written and oral) across technical and non‑technical audiences. - Collaborative mindset with strong mentorship and knowledge‑sharing skills. Required Education & Certifications: - Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or related quantitative field. - (No specific certifications required; commitment to continual learning preferred.)

Cambridge, United kingdom

On site

Senior

23-12-2025