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Why this grade This listing scored 53/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 7 / 10 Whether more than one source carries this listing.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$125k – $188k
That is the middle half of what comparable roles paid on this board over the last 90 days — 59 listings that did publish a figure, median $160k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Remote Development
Breathment is a Munich-based digital health startup. We digitize pulmonary rehabilitation for people living with chronic respiratory diseases such as COPD: our app guides patients through therapy exercises at home, watches their movement through the phone camera and gives feedback in real time, while physiotherapists and physicians follow their progress remotely through our telemonitoring platform. We work with German clinics, physiotherapists and health insurers, and every release reaches real patients.
We are looking for a senior engineer who is at home in both worlds: computer vision and production backend. You will own the path from neural-network output to what the patient sees on screen and what the therapist reads in the report.
Tasks
- Own the computer-vision pipeline that turns pose-estimation output from our neural networks into repetition counts, posture feedback and set-by-set exercise analysis.
- Design the reporting layer that converts raw movement data into clinical reports physiotherapists act on.
- Build and extend our Python backend (FastAPI, MongoDB, Redis): the API behind the patient app and the clinician platform.
- Ship to production on Kubernetes with GPU inference services, and stand behind what you ship: tests, monitoring and clean handovers.
- Analyse requirements together with product, physiotherapists and the mobile team, and propose solutions instead of waiting for tickets.
Requirements
- 5+ years of professional software development in Python, including production REST APIs (FastAPI or comparable).
- Hands-on experience with deep learning frameworks (PyTorch or TensorFlow). You have built real product features on top of model output, not only trained models in notebooks.
- Solid experience with NoSQL databases, ideally MongoDB, and with data models that survive growth.
- A fluent Git and GitHub workflow: branches, reviews, CI.
- Strong analytical thinking and an independent, structured way of working. You can take an ambiguous problem and drive it to a shipped result in a remote team.
- Professional working proficiency in English. German is a plus, not a requirement.
- Genuine interest in startups: you want responsibility, and you want to see the effect of your work on patients.
Nice to have
- Pose estimation, human motion analysis or video processing (OpenCV, MediaPipe or similar).
- Docker, Kubernetes and cloud deployments; workflow engines such as Temporal.
- Software in a regulated environment: medical devices, health data, GDPR.
Benefits
- Impact you can see: your code helps patients rehabilitate at home instead of waiting months for a clinic place.
- Remote-first: work from anywhere.
- A small senior team with short decision paths and direct access to founders, physiotherapists and users.
- A modern stack: Python 3, FastAPI, MongoDB, Redis, PyTorch, Kubernetes, GPU inference.
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Where this listing came from
- 13 Sep 2026 Arbeitnow first sighting
Seen on 1 board over 0 days. The employer edited the description 3× since we first recorded it.