• Build key relationships with stakeholders across product, engineering, finance, and operations • Use decision-modeling frameworks to assess potential outcomes and guide decision-making • Collaborate in a small, agile team to produce outsized business impact • Identify unaddressed problems and offer improved solutions • Build tools and dashboards for data-driven decision-making

• Lead and architect the research strategy for applying AI to cybersecurity. • Recruit, lead and mentor a team of top-tier data scientists engaged in professional fields, like ML and LLMs • Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity • Contribute code from proof-of-concept to production ready systems that perform at CrowdStrike’s massive scale. • Make strategic decisions about GenAI and deep learning model architectures, training approaches, and deployment strategies • Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership • Establish best practices, technical standards, and evaluation frameworks for the team

• Lead and architect the research strategy for applying AI to cybersecurity. • Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies • Implement cutting edge ML/AI research in the context of cybersecurity • Build production ready AI systems that operate at CrowdStrike’s massive scale. • Mentor and guide scientists while fostering a culture of engineering excellence • Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership • Establish best practices, technical standards, and evaluation frameworks for the team

Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Deep Origin is poised to reinvent the way scientists work and life science innovations come to life. We see a future largely free of diseases, with a 150-year lifespan being the norm. To get there, we are building an operating system for science, enabling scientists to be more productive and to bring tomorrow's ideas to life quickly and at a reasonable cost. About the role Deep Origin is seeking a Scientist with strong expertise in small-molecule docking and benchmarking, molecular dynamics (MD) simulations, and free energy perturbation (FEP), machine learning, to support a transformative ARPA-H initiative. You'll lead the design of robust simulation workflows and analyze protein-ligand structures across a large target panel to support predictive modeling for therapeutic discovery. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.