TL;DR

Researcher Engineer Scientist (AI): Developing and scaling new architectures to improve large language model intelligence and efficiency with an accent on model performance, computational optimization, and training infrastructure. Focus on designing, debugging, and optimizing state-of-the-art transformer models and contributing to major LLM training runs.

Location: San Francisco, hybrid work model with 3 days in office per week and relocation assistance

Salary: $360K – $440K + Equity

Company

%hirify_global% is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

Design, prototype, and scale new architectures to improve model intelligence
Execute and analyze experiments autonomously and collaboratively
Study, debug, and optimize model and computational performance
Contribute to training and inference infrastructure development

Requirements

Location: Must be based in or relocate to San Francisco, USA
Experience contributing to major LLM training runs
Strong understanding of deep learning architectures and transformer efficiency modifications
Motivation to safely deploy LLMs in real-world applications
Self-directed evaluation and improvement of deep learning models

Culture & Benefits

Hybrid work model with 3 days in office per week
Relocation assistance provided
Equity offers included in compensation
Commitment to diversity, equity, and inclusion