Machine Learning Engineer (HPC)

Department: Engineering

Location: Remote

Employment Type: FullTime

Mission

Neko Health exists to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights.

Role Purpose

As a Machine Learning Engineer at Neko Health, you will develop, deploy, and maintain algorithms and machine learning models that power healthcare innovation. This is a high-impact role working across multiple domains, collaborating with data scientists, engineers, clinicians, and researchers to ensure robust, production-ready ML systems that deliver real-world value.

What You’ll Deliver in the First 6–12 Months

• Design, build, and productionize robust machine learning models and algorithms used across core products and research initiatives.

• Develop scalable ML pipelines covering training, validation, deployment, and monitoring aligned with reliability and performance goals.

• Establish and promote ML engineering best practices, enabling reproducible and production-ready workflows for data scientists.

• Improve model observability, reliability, and performance through monitoring, alerting, and operational excellence.

• Collaborate cross-functionally to ensure ML solutions align with clinical and real-world needs.

Responsibilities

• Design, develop, and optimize machine learning models and algorithms in collaboration with data scientists and engineers.

• Build and maintain scalable ML pipelines for training, validation, and deployment.

• Integrate models into production systems and ensure they meet performance and reliability SLAs.

• Establish best practices and engineering patterns for ML development and deployment.

• Monitor, troubleshoot, and improve production ML systems including on-call support when required.

• Collaborate with clinicians, researchers, and cross-functional teams to ensure ML solutions address real-world needs.

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Minimum Qualifications

• Degree in Computer Science, Machine Learning, or related field (MSc or PhD preferred).

• Strong software engineering experience building and deploying production-grade ML systems.

• Deep expertise in Python and/or C++ with experience using TensorFlow or PyTorch.

• Experience across the ML lifecycle including model development, deployment, and monitoring (MLOps).

• Experience working with cloud platforms and distributed computing environments.

• Strong problem-solving ability and experience working in cross-functional teams.

About the Engineering Team

Distributed and Remote First

Neko Health has nearly 100 full-time engineers working across Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning, Optronics Research, and Software Engineering.

Our technology stack includes React, TypeScript, C++, Python, and C# with ASP.NET Core. We use Azure Cosmos DB and Azure Active Directory for authentication.

We are a Remote-First company, though some hardware and firmware roles require occasional access to physical devices. Software engineers in Stockholm typically work from the office once every one to two weeks. Teams meet in person several times per year for collaboration and team connection.

Organization and Way of Working

Engineering teams are structured into small, cross-functional groups aligned to specific goals. Some teams are long-lived while others are created for targeted initiatives. Teams aim to operate autonomously while collaborating across the organization when necessary.

Goals are tracked quarterly and annually, with bi-weekly organization-wide progress reviews. Most teams operate on a bi-weekly planning cadence, though each group has flexibility in how they work.

All teams present progress, learnings, and experiments during bi-weekly engineering demos, covering topics ranging from hardware and calibration challenges to infrastructure improvements, backend capabilities, and data innovations that enhance clinical productivity.

Neko Health supports a flexible workplace that prioritizes work-life balance. We are deeply committed to our mission while believing meaningful impact should not require sacrificing personal wellbeing.

About titles at Neko

We use a simplified internal title framework that prioritises clarity over hierarchy, so internal titles may differ from market‑facing role titles. Scope, impact and level of the role are fully aligned and will be clearly discussed throughout the process.

Hiring Process

Candidates progress from application and structured screening through thoughtfully designed interviews culminating in a formal offer and final pre-employment checks before joining the team.

Equal Opportunity & Inclusion Statement

Neko Health is committed to inclusive hiring and member-first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.