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A leading biotech company in the United States is seeking an experienced Engineering Lead in Machine Learning to drive technical decisions and mentor junior engineers. This role involves scaling infrastructure, improving ML systems, and fostering partnerships with cloud providers, contributing to advancements in genetic technologies. Ideal candidates should have strong leadership skills and a background in machine learning and infrastructure.
This exciting opportunity is for a seasoned technical leader who thrives at the intersection of machine learning and infrastructure. This role is for someone eager to mentor engineers, scale Dyno’s ML systems, and represent us in strategic technical partnerships, all while helping shape the future of AI-driven genetic technologies.
As an Engineering Lead in Machine Learning you will lead technical decision-making, mentor, and scale infrastructure within Dyno’s ML team. You’ll drive efficiency and reliability in ML/infra interfaces, guide junior engineers in their growth, and represent Dyno externally with strategic partners. Your work will ensure our ML systems can scale with the company’s scientific ambitions, directly enabling breakthroughs in genetic technologies.
At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine.