Senior ML Engineer – Speech & Voice (NXJ-212)

GPU-based microservices handle the core speech pipeline—STT consumption, word-level alignment, diarization, and speaker identification. The primary challenge isn't just serving models, but establishing rigorous data-driven evaluation to separate real accuracy gains from benchmark noise on difficult sports audio. The Senior ML Engineer will own the speech services, lead fair model bake-offs, and hold full authority over which models reach production.

• Own and scale the core speech pipeline covering alignment, diarization, speaker identification, and enrollment signature-matching workflows.
• Optimize GPU inference performance for throughput, memory footprint, and cost through batching, precision tuning, and compilation.
• Build and maintain labeled sports test benchmarks stratified by speaker count, audio quality, language, and background noise.
• Define and track production evaluation metrics including DER, WER, word-level speaker attribution, speaker-count error, latency, and GPU cost.