Machine Learning Engineer Wearables & Sensor Data (mwd) 80-100

Greenteg AG

Not Interested
Bookmark
Report This Job

profile Job Location:

Dielsdorf - Switzerland

profile Yearly Salary: EUR 80000 - 105000
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

greenteg AG offers high-tech thermal sensing solutions for an international customer base.

Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings we also offer a unique core body temperature measurement solution (CALERA) for wearable devices. The technology empowers customers with a wide range of innovative applications such as improving sports performance continuous and non-invasive patient monitoring ovulation tracking sleep analysis or early detection of diseases.

The company develops manufactures and markets all solutions at our headquarters in Zürich-Rümlang where interdisciplinary teams collaborate closely across hardware engineering embedded systems and machine learning.

Location: Rümlang Switzerland

Workload: 80100%

Start Date: Immediately or upon agreement.

Important Note: You will receive a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.

Tasks

To strengthen our R&D team we are seeking a Machine Learning Engineer Wearables & Sensor Data to design implement and optimise Python-based machine learning pipelines and algorithms that power our wearable sensing technology.

Main tasks:

  • Develop and validate machine learning algorithms to predict core body temperature and related physiological parameters based on peripheral sensor signals (e.g. heart rate skin temperature heat flux).
  • Design implement and document standardised model training and inference pipelines to ensure reproducibility and traceability
  • Manage and maintain datasets and measurement databases to ensure data quality accessibility and consistency for model development and evaluation.
  • Analyse internal and customer data to assess algorithm performance identify opportunities for improvement and deliver clear analytical reports and recommendations.
  • Provide internal consultancy and feedback to product and development teams on algorithm behaviour feasibility and performance to guide product enhancements and innovation.

Requirements

Required Qualifications

  • Masters degree (or equivalent) in Computer Science Computer Engineering Electrical Engineering Applied Mathematics Physics or a related quantitative discipline.
  • Minimum of 2 years of relevant industry experience in machine learning or data science development.
  • Ability to provide a public or private code repository (e.g. GitHub GitLab Bitbucket) showcasing previous Python-based projects including data analysis machine learning pipelines or production-level code.
  • Valid swiss work permit / EU citizenship

Specific Skills & Competencies

  • Advanced proficiency in Python with demonstrated experience developing high-quality maintainable and efficient code using libraries such as NumPy SciPy scikit-learn TensorFlow and PyTorch.
  • Strong understanding of Python software engineering best practices including version control (Git) modular code design testing and documentation.
  • Solid foundation in time-series data analysis and signal processing with practical Python implementation experience.
  • Familiarity with databases and data storage solutions including experience with time-series databases (e.g. InfluxDB TimescaleDB or similar) and efficient handling of high-frequency sensor data.
  • Strong knowledge of modern machine learning models and architectures training workflows and model evaluation techniques with a demonstrated ability to stay up to date with emerging methods tools and industry best practices.
  • Excellent analytical and problem-solving abilities with a proven track record of translating complex problems into robust Python-driven solutions.
  • Strong communication skills with the ability to present technical concepts results and insights clearly to both technical and non-technical audiences.
  • Languages: English C1.

Benefits

What we offer:

  • 25 annual paid vacation days (at 100% workload).
  • A stimulating role in high-tech manufacturing involving diverse technologies.
  • Collaborative participation in enhancing company processes.
  • An energetic young and international team.
  • Flexible worktime option for 1-2 remote days per week (at 100% workload).
  • Regular social events teambuilding BBQ free coffee and snacks.

Interested Join us!

Send your application CV and a short cover letter.

Very important!

You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.

greenteg AG offers high-tech thermal sensing solutions for an international customer base.Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings we also offer a unique core body temperature measurement solution (CALERA) for wearable devices...
View more view more

Key Skills

  • Laboratory Experience
  • Vendor Management
  • Design Controls
  • C/C++
  • FDA Regulations
  • Intellectual Property Law
  • ISO 13485
  • Research Experience
  • SolidWorks
  • Research & Development
  • Internet Of Things
  • Product Development

About Company

Company Logo

greenteg AG offers high-tech thermal sensing solutions for an international customer base. Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings, we also offer a unique core body temperature measurement solution (CALERA®) fo ... View more

View Profile View Profile