Online Rlhf Jobs (NOW HIRING)

Research reward modeling, and offline-to-online RL for large multimodal policies * Close the sim-2 ... Experience fine-tuning foundation models with RLHF, DPO, GRPO, or related methods * Familiarity ...

Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking ... Enjoy researching topics online Project Details * Job Title: Search Quality Rater * Location: US ...

Apply Reinforcement Learning (RLVR, RLHF), Direct Preference Optimization (DPO), and customer ... well as online experiments. About the team Core Search builds the next-generation LLM-powered ...

Apply Reinforcement Learning (RLVR, RLHF), Direct Preference Optimization (DPO), and customer ... well as online experiments. About the team Core Search builds the next-generation LLM-powered ...

... online experimentation. Personalization is a first-class objective on this team. You will build ... GRPO, DPO, RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet ...

... online experimentation. Personalization is a first-class objective on this team. You will build ... GRPO, DPO, RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet ...

... online experimentation. Personalization is a first-class objective on this team. You will build ... GRPO, DPO, RLHF), knowledge distillation, and listwise ranking losses (e.g. LambdaLoss, ListNet ...

... offline/online eval pipelines, agent simulations, data pipelines, backend services, and ... RLHF/RLVR evaluation) - enabling the next generation of AI-powered products, agents, automation ...

... RLHF for long‑horizon agentic tasks. * Data‑driven decision making: Define AI evaluation as a ... Build online evaluation--A/B testing, production telemetry, user feedback loops, and anomaly ...

... online learning and recommendation systems Experience working with machine learning or LLM model ... techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning ...

... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...

... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...

Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and ... online RL pipelines). * Depth in deep learning, sequence modeling, and generative models.

Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...

Define experimentation strategies, offline evaluation frameworks, and online/offline metric ... or RLHF. * Strong engineering skills in Python and Scala, with experience building large-scale ...

Proven mastery of modern AI/LLM workflows - prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training ...

Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants. * Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF. * Set up ...

... RL/RLHF/RLAIF) Ensure train/serve consistency - that the inference path used in RL and evaluation faithfully matches production online behavior (e.g., parity across sampling and logit processing ...

... and RLHF for long-horizon agentic tasks. With the aim of improving overall tools performance ... Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and ...

Lead AI agent evaluation systems, including offline and online evaluation pipelines, golden ... Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation)