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
* 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)
* JupyterLab for development and analysis
* CI / CD tools (e.g., GitHub Actions)
Who You Are
* 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.
Join Us! If you are excited by the prospect of building groundbreaking AI and signal processing solutions that directly impact personal well-being, we invite you to join our growing team. Apply now and help us shape the future of digital health
Skills : python,collaboration,feature extraction,algorithm optimization,time-series biometric data,ci / cd,mobile application development,tensorflow-lite,data science libraries,ci / cd tools,feature engineering,mobile development,model optimization,algorithm development,time-series data,statistical modeling,time-series analysis,mobile deployment,machine learning,neural networks,data cleaning,software development,time-series data analysis,tensorflow,biometric data analysis,problem solving,data analysis,signal processing,deep learning Seniority level
* Seniority level Associate
Employment type
* Employment type Full-time
Job function
* Job function Other
* Industries Technology, Information and Internet
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