Biomedical Signal Processing Engineer
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Job Title: Signal-Processing / Machine-Learning Engineer
Location: Remote
About Us We are an innovative tech company building a cutting-edge digital well-being platform. Our focus is on developing an intelligent mobile application that leverages advanced technology to enhance personal well-being. Our goal is to create solutions that empower individuals to improve their quality of life through real-time, data-driven insights. We're looking for passionate talent to join our team and make a meaningful difference.
The Opportunity We are seeking a talented and dedicated Signal-Processing / Machine-Learning Engineer to join our growing team. In this pivotal role, you will be responsible for transforming raw biosignals into real-time, on-device intelligence for our mobile application. You will contribute to the core algorithms that power our innovative solution, making a direct impact on how users interact with their well-being. This is an exciting opportunity to work on a project at the forefront of digital health.
What You'll Do
Skills: feature engineering,feature extraction,neural networks,time-series biometric data,data analysis,collaboration,feature extraction from physiological data,data science libraries,algorithm optimization,mobile application development,software development,problem-solving,mobile deployment,model optimization,ci/cd,neural networks optimization,signal processing,data cleaning,real-time data processing,statistical modeling,python,deep learning,mobile development,time-series analysis,machine learning,time-series data analysis
Location: Remote
About Us We are an innovative tech company building a cutting-edge digital well-being platform. Our focus is on developing an intelligent mobile application that leverages advanced technology to enhance personal well-being. Our goal is to create solutions that empower individuals to improve their quality of life through real-time, data-driven insights. We're looking for passionate talent to join our team and make a meaningful difference.
The Opportunity We are seeking a talented and dedicated Signal-Processing / Machine-Learning Engineer to join our growing team. In this pivotal role, you will be responsible for transforming raw biosignals into real-time, on-device intelligence for our mobile application. You will contribute to the core algorithms that power our innovative solution, making a direct impact on how users interact with their well-being. This is an exciting opportunity to work on a project at the forefront of digital health.
What You'll Do
- Design and implement pipelines for processing and cleaning biosignals from various sources.
- Develop and refine feature extraction methods from physiological data.
- Design, prototype, train, and evaluate lightweight neural networks for on-device deployment.
- Focus on optimizing model performance, ensuring low latency and efficient resource usage on mobile devices.
- Develop personalization logic to tailor interventions to individual users.
- Formalize and implement algorithms for analyzing the efficacy of interventions.
- Collaborate closely with the Mobile Lead and QA engineers to integrate models and ensure high quality.
- Python (3.11)
- Libraries for signal processing (e.g., MNE-Python, SciPy/signal, NumPy)
- Machine Learning frameworks (e.g., TensorFlow 2 → TensorFlow-Lite)
- JupyterLab for development and analysis
- CI/CD tools (e.g., GitHub Actions)
- An experienced engineer with a strong background in signal processing and machine learning.
- Proficient in Python and relevant data science libraries.
- Skilled in designing and optimizing neural networks for mobile and on-device deployment.
- Experienced in handling and extracting features from time-series biometric data.
- Detail-oriented with a focus on model accuracy, performance, and efficiency.
- A collaborative team player with excellent problem-solving skills.
- Passionate about leveraging technology to improve health and well-being.
Skills: feature engineering,feature extraction,neural networks,time-series biometric data,data analysis,collaboration,feature extraction from physiological data,data science libraries,algorithm optimization,mobile application development,software development,problem-solving,mobile deployment,model optimization,ci/cd,neural networks optimization,signal processing,data cleaning,real-time data processing,statistical modeling,python,deep learning,mobile development,time-series analysis,machine learning,time-series data analysis
Post Date
2025-06-27
Job Type
REMOTE
Employment type
Full-time
Category
Engineering, Information Technology
Level
Associate
Country
Argentina
Industry
Technology , Information , Internet ,
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