Sr. Applied Research Engineer (Agentic AI)

Summary:

Seed startup with 100+ employees (company valued $XXXM already) is looking to continue to build out their ML team (already staffed with multiple ARS from GDM). This company already has a lot of momentum in the market and has closed large enterprise deals with notable F500 customers.

Our target profile will have 5+ years relevant industry experience with hands-on experience in Generative AI / LLM's with a strong passion to push SOTA in AI at scale. Prior industry/research exp in RL (GRPO, etc.) or AI Codegen is a strong plus!

Qualifications:

* LLM Frameworks: Demonstrated expertise working with Large Language Models such as OpenAI’s GPT series--including model integration, customization, and optimization within diverse applications.

* LLM Fine-Tuning and Transfer Learning: Proven experience in fine-tuning LLMs for specific tasks or industries, including the use of transfer learning techniques to adapt pre-trained models to new domains or requirements.

* Data Handling Skills: Proficiency in handling, processing, and analyzing large datasets. Familiarity with data preprocessing techniques and tools (e.g., Pandas in Python) is crucial.

About Us:

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.

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.