Senior RL Engineer (Reinforcement Learning)

Location: Montréal, Québec, Canada

Company

hirify.global is a global media and entertainment company producing and distributing film, television, streaming, news, and themed entertainment content.

What you will do

• Coordinate with ML engineers, annotation teams, and TPMs to define data, simulation, and training requirements.
• Build and maintain high-fidelity 2D/3D simulation environments using tools such as Unity, Unreal, or Isaac Sim.
• Design and tune reward functions that align autonomous-agent behavior with product goals and safety constraints.
• Develop and optimize reinforcement learning algorithms, including PPO, SAC, and Offline RL, for high-dimensional observation spaces.
• Analyze the sim-to-real gap and implement domain randomization or adaptation techniques for reliable real-world performance.

Requirements

• Master’s or PhD in Robotics, Computer Science, AI, or a related field, with a focus on reinforcement learning, imitation learning, or online machine learning.
• Proven experience as an RL Engineer or Research Engineer in a fast-paced environment.
• Experience in a multidisciplinary industry such as robotics, smart grids, precision agriculture, game development, or aerospace.
• Fluency with Python, Git, and the Unix shell.
• Experience with RL frameworks such as Ray RLlib, Stable Baselines3, or CleanRL, plus physics engines such as MuJoCo or Bullet and 3D game engines.
• Strong mathematical knowledge of Markov decision processes and gradient-based optimization, with attention to detail when debugging nondeterministic agent behavior.

Culture & Benefits

• Full-time position within the NBCU Corporate business segment.
• Work with multidisciplinary ML, annotation, technical program management, and research engineering stakeholders.
• External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.
• Equal employment opportunities and reasonable accommodation support are provided throughout the application and recruitment process.