Senior Machine Learning Engineer, Speech Recognition (ASR)

• Train and fine-tune ASR models at scale, including dataset strategy, augmentation, and domain adaptation to real-world clinical audio
• Build and improve validation and evaluation frameworks, including WER and targeted analysis across speakers, environments, devices, and clinical terminology
• Deploy and operate ASR inference services with focus on reliability, latency, and efficiency in production
• Optimize inference latency and throughput, including batching strategies, model export choices, and hardware-aware profiling
• Build and maintain APIs and services in frameworks like FastAPI, Kafka, and NVIDIA Triton, and deploy and run them on Kubernetes
• Take technical ownership of core ASR components, shaping best practices for modelling, evaluation, and production reliability across the team supporting the growth of engineers working on speech systems
• Work closely with product and platform teams on safe rollouts, monitoring, and continuous improvement based on real-world feedback

• Strong programming skills in Python and the ability to contribute to production-grade codebases
• Hands-on experience in speech recognition and ASR
• Experience building ML systems that can be deployed and operated, including pipelines, CI and CD practices, and monitoring
• Clear communication and collaboration skills across research, engineering, and product
• A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field, or equivalent professional experience

• Experience with multilingual ASR, streaming inference, noisy audio conditions, or healthcare privacy and compliance constraints
• Experience with Go

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