Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs
Pioneer novel machine learning methodologies and statistical frameworks to address fundamental challenges in cell health and rejuvenation
Design, implement, and optimize large-scale machine learning systems using modern frameworks, AI-assisted coding, 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
Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or related quantitative field
Relevant work experience in either an academic or industry setting
Prior experience in developing and implementing novel generative AI models in a subset of transformers, multi-modality, diffusion/flow matching models
Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models
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
Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learninggenerative AItransformersmulti-modalitydiffusion modelsflow matching modelsPythonPyTorchTensorFlowJAX

Soft Skills

problem-solvingcollaborationcommunicationadaptabilitycritical thinking

Certifications

Ph.D. in Machine LearningPh.D. in Computer SciencePh.D. in Artificial IntelligencePh.D. in Statistics