Founding Machine Learning Engineer (LLM)

Overview

Early-stage startup with (successful) serial founder is looking to bring on a Founding MLE / Applied Research Scientist with a strong foundation in Reinforcement Learning and Generative AI. This will be a hands-on / applied ML role that will focus on the intersection of Generative AI and network operations (company already valued over $100M from initial funding).

Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning, 2+ years of reinforcement learning, and 1+ years industry experience post-training LLM's.

Responsibilities

• Hands-on / applied ML role focused on the intersection of Generative AI and network operations.
• Develop and evaluate reinforcement learning and Generative AI models and prototypes; collaborate with the founding team to inform product decisions.

Qualifications

About Greylock

Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here : https : / / greylock.com /

How We Work

We are full-time, salaried employees of Greylock and provide free candidate referrals / introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately.

Due to the selective nature of this service and 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.

Note

Please note : We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Seniority level

Employment type

Job function

Industries

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr