Senior Machine Learning Engineer - Speech to Text

Senior Machine Learning Engineer - Speech to Text ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading AI assistant that’s restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 85,000 clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We’re at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we’re hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla’s phenomenal traction is the result of years of rigorous product and ML development. Led by former Meta AI Research engineers, our team continuously pushes the frontier of speech and language AI in real-world clinical environments. We operate at scale, processing billions of tokens and thousands of hours of audio every week. Yann LeCun, Meta’s Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams span machine learning, real-time audio processing, native desktop applications, and platform infrastructure to deliver AI into clinical settings reliably and at scale. YOUR TEAM Product development at Nabla is led jointly by Engineering and Product and organized into cross-functional squads. As a Senior ML Engineer specialized in Voice AI, you will join a squad focused on speech and ambient intelligence, contributing end-to-end to the evolution of our real-time clinical audio stack. WHAT YOU’LL DO As a Senior ML Engineer specialized in Voice AI, you’ll play a key role in shaping the intelligence layer that powers Nabla’s assistant. Voice is the foundation of our product, enabling clinicians to interact directly with Nabla and capturing everything that happens during medical encounters. Working alongside experienced ML engineers already building our speech stack, you’ll significantly contribute to advancing the systems that transforms the >1M hours of raw clinical audio flowing through our systems every month into reliable, structured input for our AI assistant. You will: - Contribute to the improvements of core components of our speech stack, including speech recognition, speaker diarization, voice activity detection (VAD), principal speaker detection, language detection and custom vocabulary. - Design and improve state-of-the-art speech systems, adapting modern architectures to real-world clinical environments (noisy rooms, overlapping speech, telehealth calls, and multilingual conversations). - Improve real-time performance, helping optimize streaming pipelines to balance latency, accuracy, and cost in live clinical workflows. - Increase robustness and reliability, ensuring consistent performance across accents, specialties, acoustic conditions, and healthcare organizations. - Strengthen our evaluation standards, defining and refining metrics around WER, DER, latency, multilingual performance, and production monitoring. - Contribute to the speech data strategy, improving dataset quality, annotation processes, and continuous learning loops from production feedback. - Collaborate closely with product, ML, and infrastructure engineers to ensure speech systems integrate seamlessly into downstream note generation and agentic workflows. Your work will directly impact tens of thousands of clinicians. Improvements you help ship will be heard — literal ... (truncated, view full listing at source)