Senior Applied Scientist, Real-Time Conversational AI , AGI

What you'll do

• Build and scale multimodal speech and audio models, designing architectures and training methods for real-time performance.
• Develop reward models, reinforcement learning, and evaluation systems to shape natural conversational behavior.
• Advance real-time audio perception and generation while working with inference engineers to meet latency and production constraints.

What they ask for

• 5+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Programming experience in Java, C++, Python or a related language; hands-on training of large-scale foundation models; multimodal architectures for speech, text, and audio; and strong understanding of transformer architectures for speech/audio.
• Publication record at top-tier venues and demonstrated ownership of a research area.

Nice to have

• Hands-on experience building real-time AI systems or interactive systems with concurrent input and output.
• Experience with post-training methods, speech/audio generation, distributed training, hardware-informed design, or shipping research to production.

Pay

192,200.00 - 260,000.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)

Tools

Java, C++, Python, NeurIPS, ICML, ICLR, Interspeech, ICASSP

AI focus

Develop real-time multimodal conversational AI, including speech/audio foundation models, reward modeling, reinforcement learning, alignment, and real-time perception and generation.