Centific

Applied Reinforcement Learning Engineer

Remote Work( USA)

Sponsorship not specified$150k-$300kDetected 14 days ago

PythonMachine LearningTensorFlowPyTorchLLMsRAGAgentic AIA/B TestingLogisticsResearch

About the role

This role requires deep expertise in both classical RL methodologies and modern LLM-based agent architectures.
You'll shape our product direction and help make RL accessible to enterprise customers who need safe, compliant ways to improve their AI systems.
Centific AI Research advances foundational AI models and applications through reinforcement learning, alignment, and human-centered intelligence.

Design and build custom RL environments (digital twins) simulating enterprise workflows: document processing, compliance, onboarding, support automation
Build end-to-end pipelines converting human-labeled traces into RL training data
Design reward functions, verifiers, and validation frameworks for pre-deployment testing
Environment Design
Design and build custom
Create governed, compliant AI systems enterprises can trust.
As an Applied RL Engineer, you will design and build RL environments that simulate complex enterprise workflows and train intelligent agents within them.

Deep RL expertise: 3+ years hands-on experience with environment design, reward engineering, policy optimization
LLM post-training: Experience fine-tuning LLMs using RLHF, DPO, PPO, or similar
3+ years hands-on experience with environment design, reward engineering, policy optimization
Experience with LLM-based agents, tool use, multi-step reasoning

Software engineering beyond research with scalable pipelines and training infrastructure
Agentic AI: Experience with LLM-based agents, tool use, multi-step reasoning
Technical stack: Strong Python; Gymnasium, RLlib, Stable Baselines; PyTorch/JAX/TensorFlow
Education: MS/PhD in CS, ML, or related field (or equivalent experience)
Publications at NeurIPS, ICML, ICLR, ACL, or similar venues
Enterprise workflow experience in healthcare, finance, logistics, or compliance
Open-source contributions to CleanRL, TRL, veRL, or agent frameworks
Experience with world models, synthetic data generation, and simulation
Distributed training and large-scale RL experimentation
Why Join Centific
Ship your science: See your research power real systems across healthcare, finance, and safety

Architect multi-step reasoning agents with tool-calling and closed learning loops
See your research power real systems across healthcare, finance, and safety

Our mission is to transform data, signals, and human insight into next-generation intelligent systems that redefine enterprise intelligence.
We're building a governed RL environment platform that enables enterprises to safely iterate and improve AI agent workflows through simulation-based learning, bridging human-labeled signal creation with automated RL training for high-stakes operations.
Role Overview
You'll work at the intersection of RL research and production systems, translating customer requirements into bespoke simulation environments and post-training pipelines that deliver measurable improvements to AI agent performance.
Core RL Competencies
Foundational RL

pplicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy)

This listing is sourced directly from Centific's careers page and normalized into a canonical job model.