Join our passionate backend team of music enthusiasts and help build an innovative music education app for students! We are looking for a skilled and motivated Music AI Research Engineer to join us at SymphoMe as we continue to grow. Who are we? SymphoMe is a pioneering music education platform dedicated to making music learning fun, accessible, and effective. We are leading the way with innovative technology with advanced application of AI to transform the music education landscape. Our commitment to research driven development, accessibility, and gamification sets us apart as we revolutionise music education in the UK and beyond. Position overview SymphoMe is seeking a highly skilled and innovative AI Music Research Engineer to join our team. You will be implementing advanced solutions to upgrade our AI automatic assessment. Your role will be pivotal in shaping the future of music education through technology. The ideal candidate will have a strong knowledge in Music Information Retrieval (MIR), AI frameworks and a passion for music. Key requirements Relevant experience, either: A PhD in Artificial Intelligence, Computer Science, Electrical Engineering, Music Technology, Music Information Retrieval, or a related field, Or a Master's degree in one of these fields with 2 years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music. Extensive hands-on experience in designing innovative AI/ML model architectures, training models from scratch, modify pre-trained model architectures, retrain, and incorporate methodologies, layers and structures from research papers. Up-to-date knowledge of the latest AI/ML advancements, including current scientific literature, tools, models, and best practices. Proficiency in Python, with a deep familiarity and fluency in coding, including expertise with ML frameworks (e.g., PyTorch, TensorFlow) and relevant Python libraries. Strong communication, teamwork and a proactive mindset. Responsibilities Design and build state-of-the-art AI/ML models. Maintaining and updating the commercial product. Stay up-to-date with the latest research in AI/ML for music/audio. Collaborate with the back-end and front-end teams. Occasionally attend relevant events, such as international conferences and workshops, and contribute to research publications. Nice to have Evidence of original research contributions in Music Information Retrieval, Music Technology, or related areas, demonstrated through publications in top conferences within the field (e.g., ISMIR, ICASSP, NeurIPS, etc.) and/or journals. Experience with cloud platforms, such as Microsoft Azure, Google Cloud, AWS. Bonus In addition to a competitive salary, we offer an attractive bonus scheme, an equities program, and flexible work options, including hybrid and work-from-home arrangements. How to apply If you are passionate about pushing the boundaries of technology in the music industry and have the skills to excel in this role, we would love to hear from you. Please submit your resume and a cover letter highlighting your relevant experience to careers@symphome.com Candidates are encouraged to include a portfolio in their application, such as a track of their research outputs (e.g. ResearchGate, Google Scholar), and links to relevant repositories on platforms like GitHub, showcasing their expertise and achievements in MIR, model training, and other related fields.