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Co-Founder

Machine Learning Engineer

Output Biosciences is a biotechnology company focused on building generative foundational models that decode biological systems. As a Machine Learning Engineer, you will develop AI systems for complex biological reasoning, build foundational models, and engineer data pipelines to manage large biological datasets.

Machine Learning Engineer (NYC)

Senior Computational Biologist

Output Biosciences is a stealth biotechnology company focused on building generative foundational models that decode biological systems. As a Senior Computational Biologist, you will develop AI systems for complex biological reasoning and impact the development of a biologically-aware AI platform.

Senior Computational Biologist (NYC)

Output Biosciences is a stealth biotech company focused on building generative foundational models for biological systems. The Machine Learning Engineer will develop and implement AI systems capable of complex biological reasoning, working with large-scale datasets and optimizing model performance across distributed systems.

Machine Learning Engineer (Remote)

Output is a stealth biotech company focused on building the world's first biological reasoning model. As a Machine Learning Engineer, you will develop and implement advanced AI systems for biological applications, working on foundational models and optimizing performance across large-scale datasets.

Output Biosciences is a stealth biotech company focused on developing generative foundational models for biological reasoning. As a Senior Computational Biologist, you will work with the research team to create AI systems that can perform complex biological reasoning, design therapeutics, and analyze large-scale biological datasets.

Senior Computational Biologist (Remote)

Output Biosciences is a biotech startup focused on building generative foundational models for biological reasoning. As a Machine Learning Engineer, you will develop and implement AI systems to decode biological systems, working on tasks such as building deep generative models, optimizing distributed training systems, and managing large-scale biological datasets.