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FL109 - Cambridge, MA (Senior) Director, Machine Learning (Computer Vision) - Cambridge Massachusetts
Company: Flagship Pioneering Location: Cambridge, Massachusetts
Posted On: 05/04/2025
Cambridge, MA USACompany Overview:Flagship Labs 109, Inc. (FL109) is a privately held, early-stage technology company pioneering the use of artificial intelligence, physics, and hardware to transform the way we see biology. FL109 was conceived by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Become part of our mission-driven team and help envision the future of science.The Role:FL109 is seeking a dynamic leader to build and deploy state-of-the-art AI solutions to transform how we see molecular biology. You are passionate about shipping high-impact products and are eager to build a team from the ground up. You will implement best practices that enable scalability while also spearheading proof-of-concept demonstrations to showcase the platform's potential. Your role is pivotal in integrating AI innovation with experimental workflows in a fast-paced startup environment.How You Will Contribute: - Team Leadership: Develop a clear vision for the AI/computation team, mentor members, and establish processes that balance innovation with operational excellence. Ensure strategic alignment between team objectives and the company's broader goals.
- Hands-On Development: Lead by example, actively coding alongside the team to build end-to-end solutions that address real-world challenges. Design, implement, and deploy systems that deliver immediate value.
- Value-Driven Innovation: Rapidly prototype creative solutions to solve important challenges, and transition successful prototypes into production systems. Guide the analysis and visualization of complex datasets and learnings that guide leadership decisions.
- Shipping Solutions: Focus on delivering production-grade AI pipelines and software that integrate seamlessly into experimental and computational workflows. Prioritize solutions that are both scalable and impactful.
- Cross-Functional Collaboration: Work closely with experimentalists, physicists, and other domain experts to co-develop hybrid solutions that advance structural biology. Bridge computational and wet lab teams to ensure the most potent use of AI.
- Team Building: Attract and hire top talent in AI, software, and computational biology. Foster a culture of collaboration, ownership, and a focus on delivering results.The Ideal Candidate Will Have:
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