Member of Technical Staff — RL Research (New PhD Grad)

Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence. They are seeking a deeply technical Member of Technical Staff to own RL and post-training for large-scale omni models, responsible for developing and scaling post-training methods and building the necessary infrastructure for reliable training systems.

Responsibilities:

• Build Nuance’s RL/post-training stack from 0→1: rollout generation, policy optimization, reward/reference model serving, data feedback loops, evaluation, checkpointing, observability, and debugging
• Develop and scale post-training methods such as PPO, GRPO, DPO, rejection sampling, RLHF/RLAIF, online RL, and model-based data improvement
• Design the systems abstractions that connect research ideas to production-scale RL runs: trainers, rollout workers, reward models, evaluators, data queues, experience buffers, and checkpoint promotion
• Build evaluation and feedback loops for omni behavior: turn-taking, interruption, timing, emotional response, audiovisual coherence, instruction following, and real-time interaction quality
• Optimize the end-to-end post-training loop across rollout throughput, serving latency, GPU utilization, policy update efficiency, queueing, checkpoint overhead, and research iteration speed
• Evolve the platform as algorithms, model architectures, reward definitions, data sources, and evaluation methods change