Machine Learning Engineer, Nia Health
Medical platform for chronic skin conditions
Be an early applicant
Medical platform for chronic skin conditions
21-100 employees
Be an early applicant
21-100 employees
Company mission
To provide a highly engaging and personalised patient experience that removes barriers to health behaviour change.
Role
Who you are
- We are looking to hire an ambitious and highly analytical Machine Learning Engineer (f/m/d) based in Berlin
- This role is ideal for you if you combine a strong technical background in machine learning with hands-on software engineering experience, and are eager to create real impact in a fast-growing health tech startup - working closely with our cross-functional AI, product, and business teams
- You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field
- You bring 2+ years of hands-on professional experience in machine learning and have a proven track record with modern ML frameworks (PyTorch, TensorFlow)
- You ideally have practical experience in Computer Vision, NLP (Natural Language Processing), Time Series Analysis, or Reinforcement Learning
- You possess strong programming skills in Python and are highly familiar with scientific computing libraries (NumPy, Pandas, Scikit-learn)
- You have solid experience with version control (Git), collaborative development, and Python packaging and dependency management (Poetry, uv)
- You are experienced in Docker containerization, comfortable applying MLOps practices (MLflow, DVC), and skilled in data engineering tools (Meltano, Airflow, Metabase)
- You bring web development skills (FastAPI, Flask, Django) for building robust ML APIs and have experience developing CI/CD pipelines for ML workflows
- You are fluent in English and possess excellent communication skills to thrive in a cross-functional environment
What the job involves
- In this role, you will drive our AI initiatives by designing, deploying, and maintaining advanced computer vision models for medical image analysis
- Design, train, and evaluate computer vision models for medical image analysis using PyTorch and PyTorch Lightning
- Monitor production models, optimize performance metrics, and proactively implement retraining strategies to address model drift
- Perform data preprocessing, augmentation, and quality control in close collaboration with data annotators and medical advisors
- Systematically maintain organized datasets, model versioning (FiftyOne, DVC), experiment tracking (MLflow), and automated testing
- Build and maintain scalable ML pipelines and APIs (FastAPI/Flask) utilizing CI/CD pipelines, containerization (Docker), and MLOps practices for automated workflows
- Collaborate closely with frontend and backend engineers to integrate AI models smoothly into product workflows
- Build and maintain ELT pipelines (Meltano), orchestrate workflows (Airflow), and create dashboards and visualizations (Metabase) for actionable model insights and business metrics
- Ensure high code quality through version control (Git), thorough code reviews, and comprehensive documentation of models, experiments, and best practices
- Work cross-functionally within the AI, product, and business teams, and present your findings effectively to both technical and non-technical stakeholders
Our take
Currently being used in five European clinical studies, Nia Health is a digital medical platform geared towards those suffering from chronic skin conditions such as neurodermatitis. Through digital therapeutics and consultations, Nia also aids in the monitoring of patients and treatments through industry data analysis, which can be leveraged by businesses as well as patients.
This multi-pronged solution to chronic skin conditions has drawn major investment from Biomed investors such as Ventura and the Berlin University of Medicine. In response, Nia has been scaling up its operations throughout the EU.
The investment will be used to lay the groundwork for US market entry, something that it is primed for after partnering with the likes of Sanofi and Pfizer since its founding in 2019. With revenue doubling between 2021 and 2022, Nia is on the right path for continued growth.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
May 2023
$4.1m
SEED
Mar 2020
$0.7m
GRANT
Total funding: $5m
Company HQ
Wrangelkiez, Berlin, Germany
Leadership
Tobias Seidl
(Co-Founder & CEO)Previously a recipient of the EXIST Scholarship, CEO of Biodirekt GmbH, Head of Business Development at Rocket Internet SE and a Consultant at Kienbaum.
Oliver Welter
(Co-Founder & CTO)Previously a receipient of EXIST Business Start-Up Grant, CTO at caresyntax, Software Architect at GfK nurago GmbH and Senior Software Engineer at PPI AG.
Dr. Reem Alneebari
(Chief Medical Officer)Previously a Senior Medical Advisor at MedGroup LLC. Also a recipient of the Fellowship Aesthetic Laser Medicine DALM from Ernst-Moritz-Arndt-Universität Greifswald and Dermatologist at Praxis Dres.
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