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Senior Machine Learning Engineer

Job in Paris, Lamar County, Texas, 75460, USA
Listing for: Nabla
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 3 years of diligent product development.

Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI’s full potential in healthcare.

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, native desktop applications, and platform infrastructure to deliver AI into clinical settings reliably and at scale.

Your Team

At Nabla, product development is led jointly by Engineering and Product, and organized into cross-functional squads, each focused on a specific product area. Squads bring together product managers, designers, engineers of different profiles, and domain experts, and operate with a high level of ownership.
As a Senior ML Engineer, you’ll join one of these squads and contribute end to end to a specific part of the product.

What you'll do

As a senior machine learning engineer, you’ll play a key role in redefining clinicians’ workflows, unlocking better care for patients, and ensuring Nabla remains at the forefront of AI innovation. You will take ownership of high-impact projects and contribute to the growth and maturity of our ML team and R&D processes.

Within a team of experts who have built large-scale production systems at Facebook, Google, and Microsoft, you will:

  • Lead ambitious ML projects, collaborating with multiple engineers to deliver impactful solutions.
  • Go beyond ambient scribing to fully redefine clinicians’ workflows with AI, unlocking transformative efficiencies and improved patient care.
  • Propose and guide experiments, model architectures, and data-labeling strategies to improve our speech-to-text, note generation, and normalization systems.
  • Implement, train, and deploy models in production, ensuring scalability and robustness in a live healthcare setting.
  • Optimize R&D processes, enabling the team to ship new models quickly and confidently as we scale.
  • Stay at the cutting edge of AI research, sharing expertise and fostering technical growth within the team.

To get a sense of the impact you’ll have:

  • Nabla processes 10 billion tokens/month with LLMs.
  • By the time you’ve read this posting, Nabla will have transcribed 100 new hours of live audio and generated 500 new clinical notes
    , saving 125 hours of doctor time
    .
Your DNA:

The ideal candidate will bring both technical depth and leadership experience to help Nabla revolutionize healthcare with AI.

Requirements:
  • Deep expertise in machine learning
    :
    You have extensive (5+ years) experience in training and deploying neural networks for real-world use cases.
  • Strong leadership skills
    :
    Proven ability to lead ML projects, collaborate across teams, and mentor junior engineers.
  • Advanced Python coding skills
    :
    You write clean, production-ready code.
  • Vision for AI in healthcare
    :
    Passion for going beyond the status quo to redefine workflows and unlock better care for patients.
  • Fluent in English
    :
    You communicate clearly and…
Position Requirements
10+ Years work experience
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