Online Rlhf Jobs in California (NOW HIRING)

Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis. What Makes You a Great Fit * PhD in CS/AI/ML (or equivalent research experience) with ...

Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for ... Develop novel methods (e.g., mixture-of-experts/routing, DPO/RLHF, quantization, speculative ...

Design offline + online environments that support RL-style training at scale * Instrument ... Post-training pipelines (SFT, RLHF/RLAIF, preference optimization, eval loops) * Building RL ...

... online and offline initiatives. • Experiment with data-led marketing, A/B testing, and content ... Soul AI offers generative AI solutions for enterprises, focusing on RLHF and custom AI services.

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.

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.

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

Qualified applicants click "APPLY NOW" button to apply online. Travel required: NO Qualifications ... LLM/LMM/Diffusion pretraining, finetuning, or RLHF; and * Transformer architecture. Preferred ...

... 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 ...

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.

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.

Experience building offline and online quality evaluation frameworks for Large Language Models (e.g., LLM-as-a-judge, RLHF, DPO). * Experience integrating generative AI tools or LLM interfaces into ...

End-to-End ML Lifecycle:  Own requirements → data prep → feature engineering → classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) → offline/online evaluation → MLflow registry, with ...

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

Own requirements data prep feature engineering classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) offline/online evaluation MLflow registry, with automated drift and quality alerts. * Data & Storage ...

... 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 ...

... 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 ...