Senior Data Scientist – Computer Vision
Europe
Engineering / R&D – Skin /
Full-time /
Remote
Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company, but the company is based in Stockholm and has over 200 employees across Europe.
About the role
We are currently looking for a highly skilled and experienced computer vision and machine learning data scientist to join our skin imaging team. Our team is comprised of talented individuals, including data scientists, machine learning experts, and software engineers, who collaborate on ground breaking algorithmic development. Our primary focus lies in the detection, assessment, and tracking of skin lesions, as well as the automatic estimation of body measurements. Most of our team is based in Stockholm, offering a vibrant and collaborative work environment.
Requirements (must have):
- An academic background in Software Engineering/Machine Learning
- A strong proficiency in designing and implementing computer vision and machine learning algorithms
- Strong software skills, with a strong track record successfully delivering algorithms and models into production
- In-depth knowledge of both classical and modern computer vision techniques
- Prior experience with 3D technologies
Requirements (nice to have):
- Further study to MSc or PhD level in Computer Vision/Machine Learning
- Expertise in computer graphics, body tracking, or body segmentation
About the Engineering Team
Distributed and Remote First
We are nearly 100 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work with our tools. We use a mix of React, Typescript, C++, and Python. Our APIs are written in C# with ASP.NET Core, uses Azure Cosmos DB, and Azure Active Directory for authentication.
Our headquarters and our hardware development team are in Stockholm, Sweden.
We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally). Software engineers based in Stockholm work maybe one day a week or one day every two weeks from the office.
We meet a couple of times per year to get to know each other and have fun.
Organization and Way of Working
The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.
We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.
We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.
