Reinforcement Learning Systems Engineer

Tyson Jay
Full-time singapore, singapore Other-General
Posted:
June 15, 2026
Location:
singapore, singapore, Singapore

Job Description

Overview

A rapidly growing deep technology organization is seeking a Reinforcement Learning Systems Engineer to support the development of advanced intelligent systems capable of adaptive decision-making and dynamic operational behaviors within complex environments.

This role will work closely with cross-functional engineering and research teams on AI-driven optimization, system behaviors, simulation environments, and real-world performance enhancement initiatives.

Responsibilities
  • Develop and optimize reinforcement learning models and intelligent system behaviors across advanced technology platforms
  • Support simulation, testing, and performance optimization initiatives across dynamic operational environments
  • Work closely with software, infrastructure, and systems engineering teams on platform integration activities
  • Improve system reliability, adaptability, and operational performance across simulation and live deplo...

Apply for this Job

Submit your application for the Reinforcement Learning Systems Engineer position at Tyson Jay.

Apply Now Save for Later

Job Overview

Job Type: Full-time
Location: singapore, Singapore
Posted: June 15, 2026
Deadline: July 25, 2026