Altos Labs · 20 hours ago
Senior / Principal Machine Learning Scientist
San Diego, CA
Contract
Onsite
Senior Level, Lead/Staff
$377K/yr - $509K/yr
6+ years expAltos Labs is focused on restoring cell health and resilience through cell rejuvenation to reverse disease and disabilities. As a Senior or Principal Machine Learning Scientist, you will develop generative AI/ML models for multi-modal biology and collaborate with a multidisciplinary team to advance scientific innovation.
BiopharmaBiotechnologyHealth CareHealth DiagnosticsMedical
Responsibilities
Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization
Qualification
Required
Proven track record leveraging machine learning to solve real-world problems
Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
Experience with multi-GPU and distributed training at scale
A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine
Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals
Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging)
Preferred
Experience in cell health and rejuvenation related research area
Experience in the application of machine learning methods to biological data
Experience in computational approaches to drug discovery
Experience with software development methodologies and open-source software
Company
Altos Labs
Altos Labs focuses on cellular rejuvenation programming to restore cell health and resilience, to reverse disease to transform medicine.
201-500 employees
H1B Sponsorship
Altos Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (5)
2022 (6)
Funding
Current Stage
Growth StageTotal Funding
$3B2021-09-06Series A· $3B
Leadership Team
Joan Mannick
Chief Medical Officer
Recent News
2026-01-06
Genetic Engineering News
2025-12-10
Company data provided by crunchbase