Job Details

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

• 5+ years of experience in deep learning; 2+ years in reinforcement learning; 1+ years industry experience post-training LLMs.
• Strong academic foundation with a focus on Reinforcement Learning and Generative AI.

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:

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

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development and Technology
• Information and Internet

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