Sleepiz AG

Sleepiz AG (Ltd.) is a Zürich based startup with a mission to provide patient-centric disease management through seamless integration of contactless monitoring into people’s homes. Sleepiz leverages…

sleepiz.com

Sleepiz AG

sleepiz.com

HQCH

Team Size72

Open Jobs1

Total Funding$9M

Latest FundraiseUnknown

TL;DR

Headquarters: Zürich, Switzerland

Founded: circa 2018

Product: Contactless millimeter-wave radar device (Sleepiz One / One+) for respiration and sleep monitoring

Clinical / Regulatory: Certified Swiss medical-device manufacturer

Recent financing: Series A second closing; total Series A reported CHF 6.2M (including CHF 1.8M second close)

Company Overview

Problem Domain

Sleep and respiratory disorder detection and long-term remote patient monitoring

Founded

2018

Industry

Medical Equipment Manufacturing

Tech Stack

Millimeter-wave radar

Sensor fusion

Artificial intelligence / signal processing

Funding Track Record

Series A- 2022 (second closing reported March 7, 2022)

CHF 1.8M (second closing); total Series A CHF 6.2M

Company reported completing a Series A second closing raising CHF 1.8M, bringing total Series A financing to CHF 6.2M.

Early VC

CHF 1.0M (Dealroom entry)

Dealroom lists an Early VC entry of CHF 1.0M and names early investors such as Venture Kick and EIT Health on profile summaries.

Join the Team

Senior Machine Learning Engineer

On-SiteZurich, Zurich, CH

On-Site • Zurich, Zurich, CH

Role Description:

We are seeking a talented Machine Learning Engineer to join our team at Sleepiz and drive innovation in real-time vital signs monitoring. You will play a key role in developing our machine learning algorithms for performance, scalability, and real-time applications. This position involves a mix of model training and optimization, system adaptation for real-time analysis, and reducing resource needs for inference. Your contributions will directly impact the scalability and efficiency of Sleepiz’s cutting-edge health monitoring solutions, ensuring high-quality, real-time insights for patients and healthcare providers.

Key Responsibilities:

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Train/Optimize Machine Learning Models: Analyze and refine existing machine learning models for real-time vital signs monitoring, employing techniques like pruning, quantization, and knowledge distillation to enhance efficiency while maintaining accuracy.

Rewrite Performance-Critical Code: Identify computational bottlenecks in current algorithms and rewrite resource-intensive operations using high-performance languages like Rust.

Adapt Algorithms for Real-Time Processing: Ensure optimized models are adapted for real-time computation, enabling efficient live data processing for continuous health monitoring.

Collaborate Across Teams: Work closely with software engineers, data scientists, and healthcare experts to ensure seamless integration of optimized algorithms into the Sleepiz platform.

Contribute to Scalability and Reliability: Implement and test solutions that enhance the scalability, reliability, and robustness of Sleepiz’s vital signs monitoring system.

Stay Updated: Keep up with the latest developments in machine learning optimization and high-performance computing to continually improve our solutions.

Key Requirements:

Strong understanding of machine learning principles and experience optimizing models for performance.
Master’s or PhD in Computer Science, Data Science, Engineering, or a related field is preferred
Proficiency in Python.
Familiarity with model optimization techniques, including pruning, quantization, and knowledge distillation.
Experience adapting algorithms for real-time data processing.
Strong problem-solving and analytical skills to identify and resolve algorithmic inefficiencies.
Understanding of performance-critical coding principles and experience rewriting computationally intensive code.
Knowledge of software engineering best practices, including testing, debugging, and version control using Git.

Exposure to MLOps workflows and deploying machine learning models in production environments.
Experience with NN architectures for sequential data (e.g., transformers, RNNs).
Experience with the Rust programming language.
Familiarity with healthcare or biometric data systems.
Experience working with live data streams or similar real-time systems.
Knowledge of system scalability and distributed computing principles.

Sleepiz AG

Sleepiz AG

TL;DR

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Founders

What we do

Join the Team

Senior Machine Learning Engineer

Startup jobs. A lot of them.

Technical Writer

Mobile Developer

Machine Learning Engineer

Data Scientist

Mobile Developer

AI Researcher

Related Companies