Rlhf Jobs (NOW HIRING)

Preferred : • Experience with RLHF or preference learning. • Experience with LLM agents or tool-using AI systems. • Multi-agent systems or long-horizon planning. • Simulation environments for ...

Research Program Although RLHF and related methods, including direct preference optimization, are now widely used, their statistical properties remain only partially understood. Human feedback is ...

Build, fine‑tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows. * Develop APIs, data pipelines, and orchestration systems for multi‑agent ...

If you previously worked on post‑training, RLHF, or trained models used by millions of people it's a big plus, but relevant experience is not required. * You take pride in your work and thrive in ...

Preferred : • Experience with RLHF or preference learning. • Experience with LLM agents or tool-using AI systems. • Multi-agent systems or long-horizon planning. • Simulation environments for ...

You will work on the most critical post-training and reinforcement learning challenges at any given time - including reward modeling, preference optimization (RLHF/DPO), and RL for improving ...

If you previously worked on post-training, RLHF, or trained models used by millions of people it's a big plus, but relevant experience is not required. * You take pride in your work and thrive in ...

Lead research spikes on emerging techniques (LLMs, multimodal, RLHF) to determine production viability. * Establish ML engineering best practices, including experimentation standards, model ...

RLHF, DPO, or equivalent • Experience designing evaluation frameworks for LLM or agentic systems • Strong proficiency in Python and PyTorch Preferred : • Background in Electrical or Computer ...

SFT data curation, preference data collection for RLHF/DPO, golden datasets, custom benchmarks, LLM-as-judge pipelines, human-in-the-loop evaluation, red teaming, and multimodal eval (text, image ...

LLM providers**, enterprises, and internal teams to design solutions that span **data labeling, annotation, localization, RLHF, and multi-modal workflows**. This is a leadership position requiring ...

Help shape the post-training recipe-SFT, preference tuning (RLHF/DPO-style), distillation, and RL-and own key stages of how each turns a strong base model into a deployable policy. * Reasoning, Tool ...

... RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness. • Analyze Model Reasoning: critically assess how an AI model navigates ...

We are hiring a Post-Training Research Scientist to build RLHF, DPO, and reward modeling capabilities from the ground up. This is a greenfield role: you will define the infrastructure, research ...

Work with post‑training team on RLHF and behavioral optimization * Build tools for model introspection and capability mapping * Ship continuous evaluation systems that catch regressions before ...

Lead model alignment efforts, including SFT, DPO, RLHF, and related data strategy optimization. * Explore reinforcement learning applications in large language models, including PPO, actor-critic ...

... data, RLHF), defining task distributions, annotation criteria, and quality standards Translate recurring customer research needs into repeatable EPAM Frontier AI offerings, methodologies, and ...

Work with post-training team on RLHF and behavioral optimization * Build tools for model introspection and capability mapping * Ship continuous evaluation systems that catch regressions before users ...

Post-train LLM agents using RLHF, DPO, GRPO, PPO, and emerging methods * Build pipelines that convert human-labeled traces and verifiable signals into training data * Architect multi-turn, tool-using ...

The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be ...