Machine Learning Engineer – Biosignal Processing

Vitaldoctor; Ulm; On-site; EUR 70,000 - 95,000; Full time

Job summary

Vitaldoctor is seeking a Machine Learning Engineer specialized in biosignal processing to develop algorithms for physiological signals and build real-time analysis tools. You will apply ML models to detect patterns and support decision making in a dynamic startup setting.

Ideal candidates have a strong ML and Python background, hands-on experience with time-series data and signal processing, and familiarity with biomedical data to inform robust, privacy-conscious solutions.

Qualifications

• Background in machine learning, data science or a related field (or strong interest).
• Experience with Python and ML frameworks (e.g. PyTorch, TensorFlow).
• Experience with time-series data and signal processing.
• Experience with biomedical data is beneficial.

Responsibilities

• Develop algorithms for processing physiological signals
• Build and optimize machine learning models for pattern detection
• Work on real-time data analysis and decision support systems
• Collaborate with hardware and software teams

Skills

ML background

Python

Time-series & signal processing

Biomedical data knowledge

Tools

PyTorch

TensorFlow

Job description

Machine Learning Engineer – Biosignal Processing

• Develop algorithms for processing physiological signals


• Build and optimize machine learning models for pattern detection


• Work on real-time data analysis and decision support systems


• Collaborate with hardware and software teams

Hard Skills

• Background in machine learning, data science or a related field (or strong interest)


• Experience with Python and ML frameworks (e.g. PyTorch, TensorFlow)


• Experience with time-series data and signal processing


• Experience with biomedical data is beneficial

Soft Skills

• Analytical thinking and structured problem solving


• Ability to work independently in a startup environment


• Strong ownership and execution focus

Technical Arsenal

Algorithms Biosignal Processing Data Visualization Deep Learning Machine Learning Model Deployment NumPy Python PyTorch TensorFlow Time-Series Analysis

Mindset

• Scientific curiosity


• Continuous learning mentality


• Quality and accuracy mindset


• Innovation through experimentation


• Ownership and accountability


• Collaborative problem solving


• Ethical AI awareness

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