Amsterdam, North Holland, Netherlands · On-site
$6k–$7k/mo
Healthcare professionals spend too much valuable time on administrative tasks while they should be using that time delivering great care. Attendi enables healthcare professionals to report through speech. Aside from savi…
Skills: Machine Learning, Python, Azure, Cloud Infrastructure, LLM
Amsterdam, North Holland, Netherlands · Hybrid
$3k–$4k/mo
[FOR THIS ROLE WE ONLY ACCEPT NATIVE DUTCH APPLICANTS] Job description Zorgprofessionals besteden te veel tijd aan administratieve taken, terwijl ze die tijd zouden moeten besteden aan het leveren van goede zorg. Attendi…
Skills: Customer Support, Sales Support, CRM Management, Process Optimization, Dutch Communication
Amsterdam, North Holland, Netherlands · Hybrid
$5k–$6k/mo
Zorgprofessionals besteden te veel tijd aan administratieve taken, terwijl ze die tijd zouden moeten besteden aan het leveren van goede zorg. Attendi stelt zorgprofessionals in staat om met hun stem te rapporteren. Dit b…
Skills: Lead Generation, Account Management, Sales Presentations, CRM Systems, Contract Negotiation
Amsterdam, North Holland, Netherlands · Hybrid
$4k–$5k/mo
Zorgprofessionals besteden te veel tijd aan administratieve taken, terwijl ze die tijd zouden moeten besteden aan het leveren van goede zorg. Attendi stelt zorgprofessionals in staat om met hun stem te rapporteren. Dit b…
Skills: Lead Generation, New Business Development, Account Management, Sales Presentations, CRM Systems
Amsterdam, North Holland, Netherlands · Hybrid
$4k–$5k/mo
*Voor deze functie moeten kandidaten moedertaalsprekers van het Nederlands zijn Onze Missie Attendi staat voor oprechte aandacht voor de ander, de kern van goede zorg. Zorg draait om het opbouwen van een relatie met een …
Skills: Project Management, Stakeholder Management, Training, Implementation, Dutch Language Proficiency
Amsterdam, North Holland, Netherlands · Hybrid
$4k–$5k/mo
*Voor deze functie moeten kandidaten moedertaalsprekers van het Nederlands zijn Onze Missie Attendi staat voor oprechte aandacht voor de ander, de kern van goede zorg. Zorg draait om het opbouwen van een relatie met een …
Skills: Project Management, Stakeholder Management, Training, Implementation, Dutch Language Proficiency
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You will own the end-to-end machine learning lifecycle, including data pipelines, model training, deployment, and monitoring in a cloud environment. You will collaborate with cross-functional teams to integrate AI-driven features like speech recognition and LLM-based assistance into healthcare products.
Candidates should have 3+ years of industry experience in machine learning engineering with hands-on experience in production systems. Proficiency in Python and cloud-native infrastructure, specifically Azure, is required along with a pragmatic, product-focused mindset.
Healthcare professionals spend too much valuable time on administrative tasks while they should be using that time delivering great care. Attendi enables healthcare professionals to report through speech. Aside from saving time, it removes the screen between client and caregiver, allowing more personal and effective care. Burdened by an aging population, the healthcare sector is in desperate need of innovators like Attendi. We provide an extraordinary work environment: getting paid well to work with smart people on things that actually have a positive impact on society.
Attendi has already built a strong user base through API-first speech-to-text services and SDK integrations with electronic health record (EHR) vendors. In 2025 and 2026, we have expanded beyond integrations and shaping a more comprehensive product experience. Our new Attendi App (web and mobile) is a one-stop solution for AI-driven administration in healthcare. It enables healthcare professionals to access real-time insights, structured documentation, and voice-driven workflows - anytime, anywhere.
Machine learning is central to this vision. From conversational speech recognition and diarization to LLM-based note taking, and chat-based assistance grounded in clinical guidelines, Attendi’s ML stack powers the core value we deliver to caregivers.
To accelerate our roadmap, we are hiring a generalist ML Engineer who loves operationalizing ML in real-world production systems, thrives in small teams, and enjoys owning the full lifecycle - from prototyping to training, serving, monitoring, and continuously improving models in the cloud.
As a ML Engineer at Attendi, you will:
Own multiple parts of the machine learning lifecycle: data pipelines, model training, evaluation, deployment, monitoring, and iteration.
Work on scalable ML systems in the cloud (Azure).
Work closely with product, backend, and mobile engineers to bring ML-powered features -from transcription to note taking to chat-based agentic assistance - into the hands of healthcare professionals.
Participate in early-stage exploration of new ML features and transform promising prototypes into reliable production services.
Wear multiple hats in a pragmatic way: from exploring LLM observability frameworks to debugging infrastructure to improving annotation workflows—whatever moves the product forward.
You might be a good fit if you hit most or all of the following:
Have 3+ years of industry experience in machine learning engineering or applied ML roles.
Have hands-on experience deploying, scaling, and operating ML systems in production.
Are comfortable with cloud-native infrastructure (Azure preferred, but AWS/GCP experience is also valuable).
Are fluent in Python and have strong engineering fundamentals, including testing, monitoring, and performance considerations.
Enjoy collaborating cross-functionally and contributing beyond your specialty - this is a small team where ownership is encouraged.
Are pragmatic, product-focused, and motivated by solving real user problems in complex environments like healthcare.
Have experience with containerizing ML inference and/or training.
Have experience in one or more of the following:
Speech technologies (ASR, VAD, diarization)
Evaluating, training or finetuning LLMs
ML platform-level frameworks, such as Ray, Dagster, Flyte, MLFlow, CometML
Data engineering
Understand the unique constraints of healthcare environments: security, privacy, and safe clinical decision support.
Have experience with web app backends in Python and management of databases.
Have experience with annotation, ML observability, or other platform level frameworks for ML.
Be familiar with RAG systems, vector databases, or clinical knowledge-grounding.
Enjoy improving engineering culture and shaping technical direction in a growing startup.
Salary between €6000 and €7000 per month.
Travel and lunch allowance.
Home office budget.
Lease bike.
Training budget of €1,500 per year.
Company MacBook.
ClassPass membership.
Pension
At Attendi, you’ll work in a small, ambitious team that learns and builds together. We are empathetic, take initiative, dare to experiment, and stand by our work. Making mistakes is okay as long as you learn from them.
Intro call with HR
Interview with 2 colleagues: 1 for culture-fit and 1 for technical-fit assessment
Technical assessment with two technical-fit assessors + 1 of our founders
Offer and onboarding
More time for care with attention
Our mission is simple: more time for care with attention. Today’s care software often demands too much focus and energy, leaving less room for personal contact — the essence of the caregiving profession. Human connection. We believe in using the power of AI to put that relationship back at the center, instead of letting technology get in the way. With speech and AI, Attendi supports where it can and stays invisible where it should — so care professionals can give their time and attention back to clients. Speech-to-text reporting works directly in the EHR. In the Attendi App, everything comes together in one application that feels like a helpful colleague: you talk, we write; you have a conversation, we draft the summary; you ask for an addition, we process it instantly. More than 250 care organizations in elderly and disability care work with Attendi. We carry out our mission together with the Innovatiefonds Ouderenzorg (IFOZ) and, in partnership with Anders Werken in de Zorg and Intrakoop, all Attendi functionalities are included in a national framework agreement. Vilans has independently researched and proven the effectiveness of Attendi.
Offices: Joop Geesinkweg 201, Amsterdam-Duivendrecht, North Holland 1114 AB, NL
More time for care with attention
Our mission is simple: more time for care with attention. Today’s care software often demands too much focus and energy, leaving less room for personal contact — the essence of the caregiving profession. Human connection. We believe in using the power of AI to put that relationship back at the center, instead of letting technology get in the way. With speech and AI, Attendi supports where it can and stays invisible where it should — so care professionals can give their time and attention back to clients. Speech-to-text reporting works directly in the EHR. In the Attendi App, everything comes together in one application that feels like a helpful colleague: you talk, we write; you have a conversation, we draft the summary; you ask for an addition, we process it instantly. More than 250 care organizations in elderly and disability care work with Attendi. We carry out our mission together with the Innovatiefonds Ouderenzorg (IFOZ) and, in partnership with Anders Werken in de Zorg and Intrakoop, all Attendi functionalities are included in a national framework agreement. Vilans has independently researched and proven the effectiveness of Attendi.
Offices: Joop Geesinkweg 201, Amsterdam-Duivendrecht, North Holland 1114 AB, NL
