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Machine Learning Engineer

AI-powered healthcare assistant company helping doctors streamline clinical documentation, trusted by 45,000+ clinicians across 85+ healthcare organizations.
Machine Learning
Mid-Level Software Engineer
Hybrid
51 - 100 Employees
3+ years of experience
AI · Healthcare
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Description For Machine Learning Engineer

Nabla is revolutionizing healthcare delivery with their ambient AI assistant that streamlines clinical documentation. As a Machine Learning Engineer, you'll join a team led by former Meta AI Research engineers, with Yann LeCun as an advisor. The role involves building the "Copilot" of healthcare, processing 10 billion tokens/month with LLMs and handling massive amounts of clinical data. You'll work with a tech stack including Python, PyTorch, and vllm, deployed on Google Cloud & Kubernetes.

The position is based in Paris (Arts & Métiers) with a flexible hybrid work arrangement. You'll be part of the Core team, collaborating with Product Managers and other engineering teams across Apps and Platform domains. The company culture emphasizes excellence, curiosity, and genuine care for both team members and healthcare professionals.

Nabla has recently secured $30 million in Series B funding and aims to support 5 million practitioners worldwide. The company processes massive amounts of healthcare data, including 100 hours of live audio transcription and 500 new clinical notes generation regularly, saving significant doctor time.

The role offers comprehensive benefits including stock ownership, full healthcare coverage, meal vouchers, transportation allowance, and wellness programs. Nabla fosters a collaborative environment where innovation meets healthcare improvement, making it an ideal place for those passionate about applying AI to transform healthcare delivery.

The company strongly values diversity and inclusion, welcoming applicants from all backgrounds to contribute to their mission of bringing joy back to medical practice.

Last updated 7 months ago

Responsibilities For Machine Learning Engineer

  • Propose experiments, model architectures & data labeling strategies
  • Implement and train models for speech to text, note generation and normalization systems
  • Roll out models on the platform working with product teams
  • Measure performance in real world and improve over time

Requirements For Machine Learning Engineer

Python
  • Strong foundations in machine learning
  • Experience training neural networks for real-world use cases
  • Clean Python coding skills
  • Clear communication in English
  • Broader software engineering experience is a plus

Benefits For Machine Learning Engineer

Medical Insurance
Equity
  • Stock ownership
  • 100% healthcare coverage
  • Meal vouchers
  • 50% public transportation costs covered
  • Exercise classes (Yoga, running, pilates, HITT)
  • Unlimited book purchase budget
  • Flexible work culture

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