ML Data Engineer (m,f,d)

Since the foundation in 2017, MindDoc has developed into Germany's leading provider of video-based psychotherapy.

In addition to video-based psychotherapy, MindDoc also operates a mental health app that has been downloaded onto smartphones by over three million people worldwide.

With our customised offer, we encourage people to take their mental health into their own hands. We make help and support easily accessible. Anytime, anywhere and for everyone.

You can expect a warm and committed team with a start-up mentality, who together and with great passion will do everything they can to raise awareness of video-based psychotherapy and the digital health application and achieve our company goals.

Join the MindDoc team and make psychotherapy and digital health applications easier and more accessible for more people!

As a ML Data Engineer (m,f,d) at MindDoc you...

• are responsible for setting up and operating the audio-to-text pipeline (evaluating ASR models – Whisper, AssemblyAI, specialized providers; speaker diarization for therapist/patient separation).
• pay attention to the automation of the processing chain and are responsible for it:
  ingestion → transcription → quality check → storage
• are responsible for integrating and supporting annotation tools (Label Studio, Prodigy, or similar).
• deal with the database/storage architecture for transcripts and metadata.
• monitor Data quality and error handling.
• are the interface to the vAI platform for RAG data delivery.

You…

• have 2–4 years of experience with data pipelines (Python, ideally also Go).
• have experience with audio/speech processing which is an advantage.
• have solid knowledge of SQL, NoSQL, cloud infrastructure (AWS/GCP/Azure).
• work Pragmatically, hands-on and you are able to build solutions independently.
• are fluent in English, German is a plus.
• Nice-to-have: You have experience with MLOps tools (Airflow, Prefect, DVC).

You can expect...

• First and most important for us: A meaningful job. Digitizing mental health and helping thousands of people daily is not easy, but when it works it is incredibly meaningful
• A carefully crafted balance between a digital health startup with flat hierarchies, a self-dependent way of working, clear-cut communication, and speed on the one hand and a strong, stable and family-owned hospital group as our 100% shareholder on the other hand provides a unique combination of innovation and flexibility + a stable and safe job
• 30 days of vacation
• Work remotely, come to the office in Berlin or Munich whenever you want
• Sponsored lunch
• VIP treatment in Schön Klinik's portfolio, pension plan, and child care
• Company bike lease options
• Employee discounts with more than 600 different brands
• EGYM Wellpass