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Posted 4h ago•Poland (Hybrid/Entity)

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

SeniorHybridSalary undisclosed
Required Skills
PythonAzureDockerPyTorch
Job Description

The Role

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.

About the Product

The platform delivers real-time AI video processing and automated content generation for professional sports leagues globally. The underlying pipeline operates in high-noise live broadcast environments, demanding tight latency budgets, high throughput, and robust handling of overlapping speech and crowd noise.

Technology Stack: The platform delivers real-time AI video processing and automated content generation for professional sports leagues globally. The underlying pipeline operates in high-noise live broadcast environments, demanding tight latency budgets, high throughput, and robust handling of overlapping speech and crowd noise.

What You’ll Be Doing

  • Own and scale the core speech pipeline covering alignment, diariz

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