Machine Learning Engineer: Speech to Text

Nabla

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Stock ownership
Healthcare coverage 100%
Meal vouchers
Transit costs covered 50%
Fitness classes
Book budget
Culture of trust

Résumé du poste

Nabla, based in Paris, is seeking an AI/ML Software Engineer to redefine clinicians’ workflows using LLMs. Join cross-functional squads, own end-to-end features, and ship production-ready AI tooling in a healthcare setting.

You’ll work with Kotlin backend services, integrate OpenAI/Google/Anthropic APIs, and collaborate with product managers to deliver scalable AI features while maintaining high quality and reliability.

Qualifications

  • 3+ years writing production code and strong software design, testing, and architecture.
  • Proficient in backend languages (Java, Kotlin, C++, Go).
  • Experience building features using LLM provider APIs; prompting and evaluation.
  • Able to turn fuzzy product requirements into working pipelines.
  • Passionate about redefining workflows to improve patient care.
  • Clear, effective communication.
  • Bonus: experience with multi-agent systems or orchestration frameworks.

Responsabilités

  • Build agentic pipelines: chains of LLM-based agents that collaborate on complex clinical documentation tasks.
  • Go beyond ambient scribing to redefine clinicians’ workflows with AI.
  • Integrate LLM provider APIs (OpenAI, Anthropic, Google) into production features.
  • Design prompts and evaluation frameworks to measure and improve output quality, iterating quickly.
  • Write clean, production-grade code and own features end to end, from design to deployment.
  • Collaborate with product managers to turn model capabilities into reliable features.

Connaissances

3+ years production code
Java/Kotlin
C++/Go
LLM integrations
Clear communication
Agent orchestration

Outils

Kotlin
OpenAI API
Anthropic
Google Cloud
Kubernetes
Agent orchestration frameworks

Description du poste

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 100,000+ 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

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 ex-Chief AI Scientist and Turing award winner, is an advisor to Nabla. He’s now focused on AMI Labs, with whom we have a close partnership.

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 an AI 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 an AI/ML Software 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 engineering team and product.

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

  • Build agentic pipelines: chains of LLM-based agents that work together on complex clinical documentation tasks.

  • Go beyond ambient scribing to fully redefine clinicians’ workflows with AI, unlocking transformative efficiencies and improved patient care.

  • Integrate LLM provider APIs (OpenAI, Anthropic, Google and others) into production features.

  • Design prompts and build evaluation frameworks to measure and improve output quality, then iterate quickly based on results.

  • Write clean, production-grade code and own your features end to end, from design to deployment and monitoring in a live healthcare setting.

  • Work closely with product managers to turn model capabilities into reliable, scalable product features.

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

  • Nabla processes 300 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 strong software engineering skills and a practical, hands-on approach to building with LLMs.

  • You have 3+ years writing production code, with solid skills in software design, testing, and system architecture.

  • You’re proficient in one or more widely used back-end languages (Java, Kotlin, C++, Go, etc.).

  • You’ve built features or products using LLM provider APIs, including prompting and evaluation. You don’t need to have trained or fine-tuned models yourself.

  • You can turn a fuzzy product requirement into a working, testable pipeline.

  • You have a passion for going beyond the status quo to redefine workflows and unlock better care for patients.

  • You communicate clearly and effectively.

  • Bonus: Experience building multi-agent systems or agent orchestration frameworks is a strong plus.

Our Stack
  • Kotlin for backend services

  • LLM provider APIs (OpenAI, Google, Anthropic, and others) for the models themselves

  • Agent orchestration frameworks for building chains of agents

  • Prompt evaluation and testing tools to track output quality over time

  • Google Cloud & Kubernetes for deployment

Where you'll be based

Our offices are based in Paris 3e (Arts & Métiers).
Remote policy: 1-2 days a week (with some flexibility). Possibility of working remotely 1-2 weeks once a year.

Benefits

Just like we’re dedicated to supporting doctors’ well-being, ensuring yours is a top priority. We firmly believe that by prioritizing your well-being, we support you to excel in your work.

Here are the benefits you get when joining Nabla:

  • Stock ownership

  • 100% healthcare coverage

  • Meal vouchers

  • Public transportation costs covered at 50%

  • Exercise class during the workday: Yoga, running, pilates, HIIT

  • Unlimited budget for book purchases, so you can continue to learn about ML / Healthcare

  • Culture of trust & accountability — your output matters more than your clock-in time

Life at Nabla

When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed.

We come to work excited to leverage AI to do more for clinicians. We’re obsessed with our users’ satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it’s a feature our users asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes.

We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), enjoy regular off-sites to gather the team, and travel to see each other in places like NY, Paris, San Francisco, and many other vibrant cities. Oh, and we’re constantly snacking on chocolate or nuts!

Our Values at Nabla

Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion.

Every day is a new chance to excel

We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday’s failures and do better every day.

Stay humble

There’s no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture.

Feedback is a gift

We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions.

Committed to diversity

We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work.

Diversity & Inclusion

Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond.

As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive.

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