Newly-funded startup (Seed with $120M valuation) is looking to hire their first Machine Learning Engineer. In this role, you will develop and enhance multi-agent AI technology, with a focus on building their core LLM technology and services.
Qualifications:
Core Machine Learning: 5+ years relevant experience in Deep Learning, Graph-based ML, NLP, etc.
LLM Frameworks: Demonstrated expertise working with Large Language Models such as OpenAI's GPT series (GPT-3, GPT-4)--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.
Note:
Due to the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a potential match is identified with one of our investments.
Greylock Talent:
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).