jobs in UMICHAT (SINGAPORE) PTE. LTD.

Full Time Senior AI Engineer – Agentic Systems - Reinforcement Learning Jobs, Salary up to SGD 15,000 in UMICHAT (SINGAPORE) PTE. LTD. - Maukerja

Senior AI Engineer – Agentic Systems - Reinforcement Learning

UMICHAT (SINGAPORE) PTE. LTD.

Singapore

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Working Location

  • Singapore Singapore

Job Description

Responsibilities

Job Description:

We are looking for a Senior Agentic Reinforcement Learning (RL) to lead the development of next-generation AI agents capable of autonomously executing complex, long-horizon tasks across virtual environments.

This is an exciting opportunity to drive cutting-edge LLM post-training and Agent RL, working on advanced techniques such as GRPO/PPO, trajectory-based training, and sandbox environment integration. You will lead a team to push the boundaries of agent autonomy, reliability, and task completion, turning advanced AI research into real-world capabilities.

Job Responsibilities

  • Conduct reinforcement learning (RL) training experiments for long-horizon tasks, including hyperparameter tuning, performance analysis, and iterative optimization.
  • Manage agent trajectory data feedback and integration into the training pipeline, as well as coordinate and optimize sandbox environment integration.
  • Work closely with the evaluation team to validate model capabilities, analyze evaluation results, and continuously improve the model's success rate on long-horizon tasks.

Requirements

  • Conduct reinforcement learning (RL) training experiments for long-horizon tasks, including hyperparameter tuning, performance analysis, and iterative optimization.
  • Familiarity with mainstream RL algorithms such as GRPO and PPO, as well as LLM training frameworks such as veRL and OpenRLHF.
  • Experience leading a small team, with a proven track record of delivering end-to-end LLM post-training projects.

Pay: $7,000.00 - $15,000.00 per month

Benefits:

  • Additional leave
  • Food provided
  • Health insurance
  • Professional development

Work Location: In person

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