Signal-Processing/Machine Learning Engineer Signal-Processing/Machine Learning Engineer Get AI-powered advice on this job and more exclusive features. 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. Our Tech Stack - Python (3.11) - Libraries for signal processing (e.g., MNE-Python, Sci Py/signal, Num Py) - Machine Learning frameworks (e.g., Tensor Flow 2 → Tensor Flow-Lite) - Jupyter Lab for development and analysis - CI/CD tools (e.g., Git Hub 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,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 Referrals increase your chances of interviewing at Dogsolutions by 2x Sign in to set job alerts for “Processing Specialist” roles. Senior Payroll Specialist (Colombia) - Marketing and Advertising Senior Payroll Tax Specialist (Latam) - Advertising We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr