**Experienced Full Stack Machine Learning Research Engineer – Audio R&D for Innovative Products and Technologies**
About Our Company At Apple, we're revolutionizing the way people interact with technology and each other. Our Audio and Media Technologies (AMT) team is at the forefront of this innovation, developing cutting-edge audio technologies that power some of the world's most popular products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS, and tvOS. Our team is passionate about building audio software products that enrich the user experience for millions of customers worldwide. About the Role We're seeking a highly motivated and dedicated Machine Learning Research Engineer to join our Audio team. As a key member of our team, you'll be responsible for developing machine learning model architectures for solving various problems in audio, including sound event detection, scene classification, and context understanding. You'll work closely with our cross-functional teams to develop features and ship products, contributing to the creation of intellectual property in the form of patents and publications. Key Responsibilities Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification, and context understanding. Train, fine-tune, and compress models for production. Contribute to the team's workflows, building pipelines, writing datasets, and creating evaluation frameworks. Participate in cross-functional teams developing features and shipping products. Create intellectual property in the form of patents and publications. Essential Qualifications To be successful in this role, you'll need to possess the following qualifications: Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies. Experience building machine learning pipelines. Excellent software architecture and programming skills in Python, C, C++. Knowledge of audio technologies. Master's degree in Computer Science or Electrical Engineering, or equivalent industry and research experience. Preferred Qualifications We're looking for candidates who possess the following preferred qualifications: Proven experience in machine learning development, including audio and speech applications. Experience optimizing and compressing machine learning models for resource-constrained platforms. Familiarity and experience with multimodal large language models (LLMs). Demonstrated innovation in machine learning (patents, publications). Fundamentals of audio and speech signal processing. Skills and Competencies Required for Success To excel in this role, you'll need to possess the following skills and competencies: Strong understanding of machine learning concepts and techniques. Excellent programming skills in Python, C, C++. Knowledge of audio technologies and signal processing. Ability to work collaboratively with cross-functional teams. Strong communication and problem-solving skills. Career Growth Opportunities and Learning Benefits At Apple, we're committed to helping our employees grow and develop their careers. As a Machine Learning Research Engineer, you'll have access to a range of learning and development opportunities, including: Regular training and mentorship programs. Opportunities to work on high-profile projects and contribute to the development of innovative products and technologies. Access to cutting-edge tools and technologies. Collaboration with world-class engineers and researchers. Work Environment and Company Culture Our remote office provides a state-of-the-art and comfortable workspace, equipped with the latest tools and technologies. Our company culture is built on a foundation of innovation, collaboration, and mutual respect. We're committed to creating an inclusive and diverse work environment that values and celebrates the unique perspectives and experiences of our employees. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including: Competitive salary. Comprehensive health insurance. Retirement savings plan. Flexible work arrangements. Access to cutting-edge tools and technologies. Conclusion We're excited to hear from talented and motivated individuals who are passionate about building innovative audio technologies. If you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply Now! To apply for this exciting opportunity, please visit our website and submit your application. We can't wait to hear from you! Apply for this job