Senior Machine Learning Engineer, Speech Recognition (ASR)

Overview

We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti exists to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both.

Why Corti?

Corti is the frontier lab for clinical-grade AI. We build world-leading models and infrastructure that power healthcare's most ambitious software - from EHR vendors and virtual care platforms to the health systems that care depends on. Today, Corti serves over 100 million patients annually, including the NHS. Our flagship model, Symphony, is trained and validated on real clinical data from real patient interactions, and powers the clinical and administrative work that healthcare runs on. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti.

The Role

As a Senior Machine Learning Engineer focused on speech recognition, you will build and operate Corti’s medical-grade ASR systems. You will work on training and fine-tuning speech models at scale, building strong validation practices, and deploying low-latency inference services that are dependable in real-world conditions. This role includes ownership across the ASR lifecycle, from data strategy and training to evaluation, serving, and monitoring. The team values careful measurement, practical engineering, and collaboration with product and platform partners.

What you’ll be doing

• 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.

Technologies you may work with

• PyTorch
• Apache Kafka
• NVIDIA Triton Inference Server
• FastAPI for ML APIs and services
• Kubernetes for deployment and operations
• Common MLOps tooling for experiment tracking, model versioning, and monitoring

What you bring

• Strong programming skills in Python and the ability to contribute to production-grade codebases.
• Hands-on experience in speech recognition and ASR, including at least some of the following:
  • Training or finetuning end-to-end ASR models (CTC/TDT/AED) at meaningful scale.
  • Designing evaluation and validation approaches, including WER and deeper error analysis.
  • Deploying and operating ASR services in production, including performance and reliability work.
• 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.
• Nice to have: Experience with multilingual ASR, streaming inference, noisy audio conditions, or healthcare privacy and compliance constraints. Experience with Go.

Life at Corti

• You will be reporting to the Director of Engineering
• The position is full-time and starts as soon as possible
• Hybrid working environment in our Copenhagen Office
• Equipment provided by Corti