Reinforcement Learning Engineer

Educational Background

• Graduated from a top-tier institution (e.g., leading global universities) and actively leveraged opportunities (e.g., contributing to research labs). OR
• Demonstrated exceptional initiative at a strong CS program by leading projects, launching initiatives, or building something groundbreaking.

Technical Skills

• Evidence of outstanding technical ability, backed by recognition in top programs or fellowships.

Mindset

• Excited to join an early-stage startup where your contributions will shape the foundation of the company.
• A desire to make a massive impact by tackling some of the most challenging engineering problems facing DevOps today.

Why Join Us?
Here, you’ll work alongside an elite team of researchers and engineers to pioneer AI-driven solutions for DevOps—a space ripe for innovation. This is a chance to:

• Solve high-impact problems at the intersection of AI and infrastructure.
• Work in a collaborative, research-driven environment where your ideas are valued.
• Be part of a high-growth startup tackling one of the most pressing challenges in modern software development.

We believe exceptional talent deserves the freedom to create, innovate, and drive meaningful change. If this resonates with you, let’s talk.

Reinforcement Learning Engineer
Revolutionize DevOps with AI-Powered Agents. Are you passionate about advancing the frontiers of AI research? Do you want to work on transformative technology that solves real-world challenges? Join us in building the next generation of AI agents that will redefine how infrastructure is managed at scale.

Who We Are
We are a cutting-edge research and product lab tackling one of the most pressing challenges in modern software development: the inefficiencies and vulnerabilities of traditional DevOps. While AI coding agents have transformed software development, DevOps remains stuck in outdated, manual processes. Our mission is to create AI agents capable of reasoning across entire enterprise DevOps stacks, enabling teams to manage infrastructure with unprecedented efficiency and reliability. These agents power our innovative platform, which is designed to help organizations scale seamlessly in an AI-driven world. If you’re an ML researcher eager to work on high-impact problems, this is your opportunity to make a difference.

What We’re Looking For
We’re seeking ambitious Reinforcement Learning Engineers who are excited about applying cutting-edge AI to revolutionize DevOps.
Ideal Candidates

• Seniority: 0–6 years of experience in RL research or applied work.
• Research Experience: Expertise in one or more of the following areas (in order of preference):
• Coding AI agents
• General AI agents
• Traditional RL
• General LLM/GenAI research

Educational Background

• Graduated from a top-tier institution (e.g., leading global universities) and actively leveraged opportunities (e.g., contributing to research labs). OR
• Demonstrated exceptional initiative at a strong CS program by leading projects, launching initiatives, or building something groundbreaking.

Technical Skills

• Evidence of outstanding technical ability, backed by recognition in top programs or fellowships.

Mindset

• Excited to join an early-stage startup where your contributions will shape the foundation of the company.
• A desire to make a massive impact by tackling some of the most challenging engineering problems facing DevOps today.

Why Join Us?
Here, you’ll work alongside an elite team of researchers and engineers to pioneer AI-driven solutions for DevOps—a space ripe for innovation. This is a chance to:

• Solve high-impact problems at the intersection of AI and infrastructure.
• Work in a collaborative, research-driven environment where your ideas are valued.
• Be part of a high-growth startup tackling one of the most pressing challenges in modern software development.

We believe exceptional talent deserves the freedom to create, innovate, and drive meaningful change. If this resonates with you, let’s talk.