Senior MTS, RL & Post-Training for Real-Time AI

Nuance Labs; Seattle (WA); On-site; USD 300,000 - 500,000; Full time

Benefits offered by this job

Health Savings Account plan

15 days PTO plus holidays

Lunch and snacks provided

Job summary

Nuance Labs in Seattle is looking for a deeply technical Member of Technical Staff to own reinforcement learning and post-training for large models. This role requires significant experience in RL and post-training methods, ensuring the development of systems that achieve real-time, multimodal interaction.

The candidate will build and optimize training systems, implementing modern methods and aligning research with production needs. A focus on interaction quality and feedback loops for omni behavior is crucial.

Compensation ranges from $300,000 to $500,000 base salary, with equity and other benefits.

Qualifications

• Significant hands-on experience with RL, RLHF, or large-scale fine-tuning for models.
• Deep understanding of RL/post-training methods and evaluation.
• Track record of reasoning about model behavior and training dynamics.

Responsibilities

• Build Nuance's RL/post-training stack from 0→1.
• Develop and scale post-training methods such as PPO and RLHF.
• Optimize the end-to-end post-training loop for real-time interaction.

Skills

Reinforcement Learning (RL)

Post-training methods

Policy optimization

Reward modeling

Software engineering fundamentals

Tools

OpenRLHF

vLLM

Job description

Nuance Labs in Seattle is looking for a deeply technical Member of Technical Staff to own reinforcement learning and post-training for large models. This role requires significant experience in RL and post-training methods, ensuring the development of systems that achieve real-time, multimodal interaction.

The candidate will build and optimize training systems, implementing modern methods and aligning research with production needs. A focus on interaction quality and feedback loops for omni behavior is crucial.

Compensation ranges from $300,000 to $500,000 base salary, with equity and other benefits.