Centific
Senior Staff Research Scientist, Reinforcement Learning
East Palo Alto, CA · Staff+
Sponsorship not specified$250k-$300kDetected 31 days ago
PythonCode ReviewMachine LearningComputer VisionLLMsRAGAgentic AILogisticsResearch
About the role
- About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment.
- Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.
Responsibilities
- Design simulation environments and digital twins for enterprise workflows
- Build pipelines that convert human-labeled traces and verifiable signals into training data
- Design reward functions and verifiers that resist reward hacking and reflect real task outcomes
- Mentor researchers and engineers; drive technical direction through influence
- 5+ years hands-on RL - environment design, reward engineering, policy optimization - with at least one production deployment
Requirements
- 7+ years in ML/AI research or engineering
- 3+ years at senior/staff level
- 3+ years fine-tuning LLMs with hands-on RL post-training (RLHF, DPO, GRPO, PPO)
- Working knowledge of modern post-training and rollout-serving libraries (TRL, veRL, OpenRLHF, SkyRL)
- Hands-on experience with Gymnasium-based environments and reward engineering (sparse vs. dense)
Nice to have
- Publications at NeurIPS, ICML, ICLR, ACL, COLM, or similar venues
- Open-source contributions to post-training or agent frameworks (TRL, veRL, OpenRLHF, SkyRL)
- Experience with Offline RL (CQL, IQL), Model-based RL / World Models, or Hierarchical RL
- Background in synthetic data generation, simulation, or world models
- Distributed training on GPU clusters
- Shape a new discipline at the intersection of post-training, simulation, and enterprise AI.
- Ship your science.
- Work alongside NVIDIA, Microsoft, and the global AI community.
Skills
- About Centific
- Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Compensation
- $250k-$300k
Benefits
- Architect multi-turn, tool-using agents with closed learning loops
- MS or PhD in Computer Science, Machine Learning, or related field (or equivalent)
Visa & Work Authorization
- 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)
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