Machine Learning Engineer

Job Description

Altos Labs is seeking a Machine Learning Engineer to contribute to their mission of restoring cell health and resilience. The successful candidate will work within a team focused on building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. This role involves collaborating with MLOps to ensure models are easily trainable, findable, interpretable, and accessible across diverse research groups.Responsibilities:

• Evaluate and retrain AI models across various imaging modalities.
• Develop reliable, scalable, and performant distributed systems in a cloud environment.
• Develop efficient data loading strategies and performance tracking for large models.
• Build, deploy, and manage multi-modal analysis pipelines and machine learning workflows.
• Collaborate with scientists and software engineers to understand and address scientific needs.
• Bridge the communication gap between experimental scientists, algorithm developers, and software deployers.

Requirements:

• BS/MS in Computer Science/Biomedical Engineering or related quantitative field.
• Relevant industry and/or academic experience.
• Experience with programming languages like Python, C++, Pytorch/Tensorflow, Pytorch Lightning.
• Experience with Machine Learning at scale, including Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi-modal integration.
• Experience applying software engineering practices in a scientific environment.
• Track record of technical leadership and scientific contributions.

The role offers:

• A collaborative and scientifically excellent work environment.
• Opportunities for innovation through inclusion and belonging.