Founded in 1965 with billions of dollars in committed capital currently under management, Greylock is a top-tier venture capital firm that invests in disruptive, market-transforming technology companies.
Currently, a growth-stage investment of ours is looking to hire a staff-level applied research scientist with a strong background in NLP and Deep Learning. Position can be based out of the SF Bay Area, NYC, or as a full-time remote position.
Qualifications:
- 5+ years industry experience in NLP, Deep Learning with a strong academic foundation (PhD in Computer Science or related field preferred)
- Solid understanding of gradient-based methods in deep learning (GANS, LSTM, CNN, GNN, Transformers, etc.)
- Excellent coding skills and hands-on exp with modern ML frameworks
- Familiarity with large-scale clusters and/or parallel processing environments is a plus
- Prior startup experience and/or working remotely is a plus
Please note: Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified (sorry).
About us:
We are full-time, salaried employees of Greylock, and there are no fees associated with any of the work we do. Our team provides free candidate referrals/introductions to all of our active investments (one of the many services we provide).