Senior Machine Learning Engineer

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Senior Machine Learning Engineer in Others

Nabla
Full time
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Others
09/17/2026
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Paris, France

Responsibilities

Improve core speech stack components such as speech recognition, speaker diarization, voice activity detection, principal speaker detection, language detection, and custom vocabulary.
Design and improve speech systems for noisy rooms, overlapping speech, telehealth calls, and multilingual conversations.
Optimize real-time streaming pipelines for latency, accuracy, cost, robustness, and reliability.
Define and refine speech evaluation metrics covering WER, DER, latency, multilingual performance, and production monitoring.
Improve speech datasets, annotation processes, and continuous learning loops using production feedback.
Collaborate with product, machine learning, and infrastructure engineers to integrate speech systems with note-generation and agentic workflows.

Requirements

5+ years of experience with speech and audio machine learning systems, including ASR, diarization, VAD, or multilingual speech models.
Strong understanding of real-time or streaming machine learning systems and optimization for latency and reliability.
Experience with transformer-based or hybrid speech architectures such as wav2vec2, Whisper-like systems, or conformers.
Knowledge of audio preprocessing, feature extraction, and robustness techniques.
Strong Python skills and experience deploying machine learning systems in production.
Ability to design and evaluate experiments using rigorous speech metrics such as WER, DER, latency, and robustness benchmarks.
Strong product mindset and fluency in English.
Preferred experience with multilingual speech systems, language detection, healthcare or other high-reliability domains, and edge or resource-constrained inference.

Benefits

Collaborative, inclusive, and excellence-driven work environment.
Opportunities to engage directly with clinicians and influence a healthcare product used by more than 100,000 clinicians.
Yoga, running, pilates, or HIIT during the workday at least three times per week.
Regular off-sites and team travel to locations including New York, Paris, and San Francisco.

Nabla

Nabla builds an ambient AI assistant for clinicians that captures visits, generates notes, and streamlines related tasks through integrations with major EHRs. The software is sold to healthcare organizations and health systems, supporting workflows before, during, and after visits across specialt...

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