TL;DR

AI Research Engineer (Reinforcement Learning): Contributing to the development of AI-based capabilities for semi-autonomous platforms with an accent on reinforcement learning and multi-agent systems. Focus on designing, training, and deploying agents in complex environments.

Location: Remote (Europe)

Company

%hirify_global% is a defence AI company focused on protecting democracies through technological leadership.

What you will do

Implement and extend state-of-the-art multi-agent reinforcement learning techniques.
Collaborate with cross-functional teams to integrate ML/AI into production systems.
Design, train, and deploy AI agents in complex environments.
Report and present research findings clearly to internal and external stakeholders.
Keep up-to-date with current research and reimplement state-of-the-art approaches.

Requirements

MSc in machine learning with a focus on reinforcement learning or related fields.
Excellent communication skills for reporting and presenting findings.
Solid software engineering skills in Python, Rust, Java, or modern C++.
Experience deploying AI software to production, including testing and QA.

Nice to have

PhD in reinforcement learning or related fields with publications in top-tier journals.
Experience with large-scale RL training and multi-agent controllers.

Culture & Benefits

Focus on outcomes rather than time-tracking.
Competitive compensation and stock options.
Relocation support and social allowances.
Regular company events to foster team unity.
Hands-on onboarding program to familiarize with tools and ML pipelines.