ML Engineer

ML Engineer

Cyprus or Remote Products/Apps

We are looking for a Machine Learning Engineer to help advance our Optical Music Recognition (OMR) system. In this role, you will work at the intersection of deep learning and music technology, developing robust ML models, building scalable data pipelines, and contributing to research-driven innovation. If you are passionate about PyTorch, enjoy solving complex technical challenges, and are excited about applying AI to structured visual data like music notation — we'd love to hear from you.

We are actively integrating AI and automation into all areas of the business and expect candidates with mindset focused on improving efficiency and deliver a better user experience.

Key Responsibilities

- Develop and enhance the OMR system's core machine learning models using PyTorch.

- Collaborate with the Senior Research Engineer on prototyping, experimentation, and research-driven initiatives.

- Build and maintain dataset generation tools and automated data pipelines to support scalable model training.

- Work closely with the product team to understand users' needs and translate them into technical solutions.

- Design, implement, and optimize inference APIs using FastAPI to efficiently serve model predictions.

- Maintain and improve Docker-based container environments to ensure scalable and reliable model deployment.

- Identify, debug, and resolve issues across the machine learning pipeline.

Required Experience

- Proven experience developing and training machine learning models.

- Strong proficiency in Python and PyTorch.

- Solid understanding of music notation systems and their structural principles.

- Experience using Docker to containerize and deploy machine learning workloads.

Preferred:

- Experience with Vision-Language Models or image-to-sequence architectures.

- Experience designing and maintaining APIs using FastAPI.

- Experience using C++ to extend or optimize the underlying music processing library.

- Proficiency with Git and collaborative development workflows.

Muse Group Empowers Music Makers

We create the world's most popular apps for playing, recording and composing music. Through our innovative learning tools, expansive music catalogs and free open-source software, we make it easier for millions — from beginners to experienced musicians — to be creative every day. Our talented team of music lovers collaborates all over the globe, from Limassol to Seoul and Boston to Berlin.

We're an ambitious company with the drive and culture of a startup — with many more exciting Muse Group developments to come. Hal Leonard, which joined Muse Group in 2023, is the world leader in sheet music publishing and music education. The company has a storied history of providing music learners with the very best methods and arrangements of popular music for over 70 years. Hal Leonard is also a major distributor of popular brands of instruments, gear, and software to the music trade worldwide.