About this role
The AI Agent Researcher role at Vast.ai is a full-time position located on-site in San Francisco, California, suited for experienced engineers passionate about advancing autonomous machine learning systems. This opportunity places the right candidate at the forefront of decentralizing AI computing while building next-generation general learning agents.
Role Overview
As an Agent Research Engineer, the chosen professional will help elevate the upper tiers of the technology stack to give artificial intelligence systems true agency. Working closely alongside the technical founder and a diverse engineering team, this role focuses heavily on shaping the future of autonomous machine learning. Maintaining a comprehensive and cutting-edge knowledge base of modern research remains essential for driving this technical mission forward.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Vast.ai provides cloud infrastructure that powers artificial intelligence projects and businesses globally. Dedicated to democratizing and decentralizing AI computing for the betterment of humanity, the organization operates with a flat structure, massive ambitions, and a high-energy startup culture.
How to Apply
Interested candidates should visit the official Vast.ai careers page to submit their application.
Skills and tech stack
Questions candidates ask
What is the location of the AI Agent Researcher position?
This position is on-site at the company office located in San Francisco, California, or optionally in Westwood, Los Angeles.
What is the salary range for this role?
The annual salary ranges from $160,000 to $320,000 USD.
What technical skills are required?
Candidates should be familiar with Python, C++, Cuda, Large Language Models (LLMs), and Artificial Neural Networks (ANNs).
What benefits does Vast.ai offer?
Benefits include comprehensive health, dental, vision, and life insurance, a 401(k) with company match, early-stage equity, and on-site meals and snacks.
What does the interview process look like?
The process includes an initial virtual screening, a virtual technical dive, a virtual LLM-assisted coding assessment, and an on-site meet and greet with a coding assessment.