About the roleWe are currently seeking a proficient and seasoned data scientist to become an integral part of our team. The primary emphasis of this role lies in the advancement of innovative methodologies for cardiovascular health assessment. Our algorithmic team consists of highly capable professionals, encompassing data scientists, machine learning experts, and software engineers. The team collaborates closely with both our internal medical doctors as well as external clinical experts. Most of our team operates from our Stockholm office, providing an engaging and cooperative work atmosphere.Requirements (must have)An academic background in Software Engineering/Machine LearningA strong proficiency in designing and implementing machine learning algorithmsIn-depth knowledge of both machine learning and signal processingStrong software skills, with a strong track record successfully delivering algorithms and models into productionPrior experience applying machine learning to time-seriesRequirements (nice to have)Further study to MSc or PhD level in Machine LearningExpertise in cardiovascular sensor data (e.g. electrocardiogram, heart sound, or photoplethysmogram (PPG))About the Engineering TeamDistributed and Remote FirstWe 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.About the Engineering Team (cont.)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 WorkingThe 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.Organization and Way of Working (cont.)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.Organization and Way of Working (cont. 2)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 workplaceWe 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.AI disclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
