Chief Research Scientist (Cybersecurity)

Greylock Partners; San Francisco (CA); On-site; USD 200,000 - 270,000; Full time

Job summary

A leading investment firm in San Francisco is seeking a Chief Scientist to advance state-of-the-art technologies in Machine Learning for cybersecurity. Ideal candidates will have a strong academic background and experience with reputed research groups. While prior startup experience is a plus, it is not mandatory. This role offers the chance to work closely with investors and founders to build an innovative team in a rapidly growing sector.

Qualifications

• Accomplished background advancing state-of-the-art in Machine Learning.
• Experience with reputable research groups in leading companies.
• Strong academic credentials including publications.

Responsibilities

• Lead research and development in cutting-edge cybersecurity technologies.
• Collaborate with a strong team and present findings at conferences.

Skills

SOTA in Machine Learning

Strong academic foundation

Research papers

Presenting at conferences

Prior startup experience

Education

PhD in Computer Science or ML

Job description

Early-stage, cybersecurity investment (valued over $100M at Seed), founded by a successful serial entrepreneur and backed by a strong team, is looking for a Chief Scientist with an accomplished background advancing SOTA in Machine Learning. Ideal candidates will have strong academic foundation (including research papers, presenting at conferences, etc.) and strong tenures with reputable research groups in market-leading companies. Prior startup experience is a strong plus but not required.

Application Process:

I will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Once contacted, I'll explain our VC Recruiting model, spend some time getting to know you better, and will then walk you through this opportunity.

Due to the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Greylock Talent:

I am a full-time, salaried employee of Greylock, and there are no fees associated with any of the work I do. I am working directly with the founder and our investor to build out this team.