Audio Inference Engineer, Model Efficiency

Highlights

• Optimize audio inference serving for latency, throughput and quality.
• Build reliable ML systems for real-time streaming audio workloads.
• Partner with training and serving teams to ship frontier audio models.

What they offer

• Equity
• Full health and dental benefits including mental health budget
• 6 weeks paid vacation (30 working days)
• 100% parental leave top-up for up to 6 months
• Weekly lunch stipend and $500 home office stipend
• Annual enrichment, education and wellness stipends

Ideal candidate

An action-oriented engineer passionate about high-performance audio systems and real-world impact, thriving at the intersection of research and production to make frontier models fast and reliable.

Requirements

• Significant experience developing high-performance audio or ML inference systems
• Proficiency in C++ and Python
• Hands-on experience with deep learning models for audio, speech or language applications
• Bias for action and strong results-oriented mindset
• Experience with GPU programming, low-level optimization and multi-GPU parallelization
• Experience with real-time duplex streaming and end-to-end audio pipeline optimization