Machine Learning Engineer

KKLab, being a technology venture, collaborates with our partners to turn ideas into products using leading edge technologies.  KKLab so far has two AI products to offer: KKRaaS and Lyricist.ai. KKRaaS is a B2B generic recommendation platform while Lyricist.ai is a lyrics generator. There are many more AI related projects in incubation.

We are seeking a talented machine learning engineer to build audio/music AI systems. This role will be working with other machine learning engineers to develop algorithms ranging from audio/music analysis to audio/music generation. The algorithm has to strike a perfect balance between computation efficiency and model accuracy.

We are looking for a candidate who is self-motivated with machine learning knowledge and passionate about engineering excellence. 

Responsibility

• Working with cross-country stakeholders and teams to build a music AI system.
• Understand, modify, and implement state-of-the-art technologies in audio/music analysis and generation from academia into products.
• Understand and breakdown state-of-the-art models into reusable components and develop new models by using those reusable components.
• Understand qualitative feedback from human labellers and translate it into quantitative metrics.
• Build simple prototypes and demo sites for newly developed models.

• Solid understanding of various machine learning models and techniques in audio/music analysis and generation.( eg. DDSP-VST, Magenta, etc )
• Fluent with Python.
• Familiar with popular machine learning frameworks such as tensorflow, pytorch, scikit, etc.
• Understanding of music theory is a plus.
• Professional experience in music (band member, music critic) is a plus.
• Fluent in Mandarin (interview will be conducted in Mandarin)

1. Hiring manager / 15~30m / phone
2. Team, bar raiser / 60~90m / Google Meet
3. GM, hiring manager / 60~90m / Google Meet

Please submit your application via KKLab Career Website (https://kklab.freshteam.com/jobs), as we will prioritize the applicant's resume on Career Website.