Applied Reinforcement Learning Engineer 2

Centific Global

Palo Alto, CA, US
Base: $150k - $300k annually; bonus/equity: not sp...
Hybrid
Deep reinforcement learning expertise
Llm post-training with rlhf dpo ppo
Custom environment design gymnasium
Centific Global is seeking an Applied Reinforcement Learning Engineer to design and build reinforcement learning environments that simulate complex enterprise workflows. The ideal candidate will have extensive experience in reinforcement learning methodologies and software engineering, with the ability to translate customer needs into effective simulation environments

Job Summary

  • The role involves designing custom RL environments that simulate complex enterprise workflows like document processing and compliance.
  • Candidates will post-train LLM-based agents on domain-specific tasks using advanced methods such as PPO, GRPO, and RLHF.
  • Centific offers the opportunity to shape a new discipline at the intersection of reinforcement learning, simulation, and enterprise AI.

Matching Summary

Match Score: 85

Centific Global is seeking an Applied Reinforcement Learning Engineer to design and build reinforcement learning environments that simulate complex enterprise workflows. The ideal candidate will have extensive experience in reinforcement learning methodologies and software engineering, with the ability to translate customer needs into effective simulation environments.

Salary

Base: $150K - $300K Annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Deep Reinforcement Learning expertise
  • LLM post-training with RLHF DPO PPO
  • Custom environment design Gymnasium
  • Python programming and PyTorch
  • Agentic AI tool use reasoning

Nice-to-have

  • Publications at NeurIPS ICML ICLR
  • Experience in healthcare or finance domains
  • Open-source contributions to agent frameworks
  • World models and synthetic data generation
  • Distributed training experience

Key Requirements

  • 3+ years hands-on Deep RL experience
  • MS/PhD in CS ML or equivalent
  • Strong software engineering beyond research

Work Rights

Not specified

Tailored Resume

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