Greylock has a storied history of partnering with exceptional Entrepreneurs in Residence, resulting in the identification, inception, and growth of market-defining companies. For instance, Mustafa Suleyman started Inflection.AI, Stuart Bowers joined Apple as a leader in AI and Robotics, and D.J. Patil went on to lead data science for the White House.
For the first time, we are looking for a proficient AI researcher to join us in the newly created role of Researcher in Residence, on a part-time basis. We’ve crafted this role for someone who might be transitioning between research or industry roles, or in late stages of a graduate program, looking to thoughtfully explore their next step.
Your time with Greylock will be structured to afford you the flexibility to focus on uncovering your next venture, be it as a founder, a team member in a scaling company, or in academia. Greylock’s network, reach, and company understanding will be a powerful catalyst for your efforts. All the while, you will collaboratively work with Greylock’s investment team and a selection of our AI portfolio companies to accelerate the most compelling opportunities at the frontier of AI.
If you are an ambitious AI researcher who would like to explore spending time with us, please reach out to email@example.com. We are excited to collaborate on helping to build the intelligent future together.
See below for more details on the role.
As a Researcher in Residence at Greylock, you will be at the nexus of pioneering research and practical application. Your collaboration with our investment team and Greylock-backed entrepreneurs will be instrumental in steering and propelling the next generation of AI-centric products.
This role offers the opportunity for an experienced AI researcher to deliberately explore their next move, while collaborating closely with us in our AI investing practice, and applying your expertise to help accelerate our portfolio of AI companies. We hope to partner with you for at least six months and are flexible to extend as our partnership progresses. This is a paid position.
Our ideal candidate will possess:
- A robust technical foundation, ideally anchored with a Ph.D. in Computer Science or a pertinent field. Substantial industry experience in a research-centric role will also be considered as a substitute.
- A strong trajectory in AI research, accentuated by expertise in machine learning, natural language processing, computer vision, and/or related domains.
- An established ability to discern technical feasibility, scalability, and the intricacies of risks intertwined with new AI innovations and applications.
- Strong passion and excitement for working with and advising early stage companies, founders and product teams.