Job Description The Goole Pixel team is looking bring on a ML engineer to help with their hearable testing devices. We are looking for someone who can specialize in developing advanced audio testing devices that ensure the highest quality sound for our customers. We are seeking a skilled Machine Learning Engineer to join our team and contribute to the development of cutting-edge audio testing solutions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements 2-3 years of experience specifically working with AI and audio devices.  Strong Python background  Self Starter and excited about AI  Experience working with Computer Vision and Neural Networks ( Convolutional Neural Networks, CNN)  Design, develop, and implement machine learning models and algorithms specifically for audio testing and analysis.  Collaborate with audio engineers and product teams to understand requirements and translate them into technical solutions.  Conduct data preprocessing, feature extraction, and model evaluation to ensure high performance and accuracy in audio testing.  Deploy machine learning models into production environments and monitor their performance in real-time audio testing scenarios.  Continuously improve and optimize existing models and algorithms for better accuracy and efficiency.  Stay up-to-date with the latest advancements in machine learning, audio signal processing, and AI technologies.  Document processes, models, and results for future reference and reproducibility. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.