Machine Learning Engineer

**Description**:
We are looking for a highly skilled and experienced Machine Learning Engineer to join our team and drive innovation in music and audio technology.

Your work will directly impact how users experience and interact with music technology.

**Key Responsibilities**:

- Deploy machine learning solutions in production environments powering real-world products and services
- Collaborate closely with multidisciplinary teams of engineers, researchers, and product managers to solve complex problems in music and audio technology

**Skills, Knowledge and Expertise**:

- Master's or PhD degree in Computer Science, Machine Learning, or a related field (equivalent work experience will also be considered)
- Strong proficiency in Python programming, with hands-on experience using ML frameworks such as PyTorch and TensorFlow, and audio processing libraries like Librosa
- Solid understanding of state-of-the-art ML models and techniques
- Good understanding of basic music theories such as chords, scales, and intervals
- Familiarity with MIDI and Audio formats, including MIDI message structures and audio file formats
- Strong knowledge in digital signal processing
- Excellent problem-solving and analytical skills, with attention to detail
- Ability to work both independently and collaboratively in a fast-paced environment
- Effective communication skills and the ability to translate technical concepts to non-technical stakeholders

**Preferred qualifications**
- Background or strong interest in music, with knowledge of music theory and composition
- Experience in one or more areas of music AI, such as:

- Music Generation
- Source Separation
- Audio Enhancement
- Music Transcription (chords, notes)
- Singing Voice Synthesis
- Music Information Retrieval
- A strong record of first-author publications in leading AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICASSP)
- Proficiency in C/C++ and shell programming languages, with a deep understanding of data structures and algorithm design
- Experience with MLOps frameworks, such as MLFlow or KubeFlow

**Location and Benefits**:
We are a diverse and distributed team, where some roles are tied to particular regions or time zones to ensure effective communication and collaboration during work hours. This role is **based in Singapore**, with 3 in-office days per week.

**Benefits**:

- Health insurance for employees and dependents, including cashless visits to panel clinics, hospitalization coverage in private hospitals, and dental insurance
- Paid annual leave, sick, childcare, marriage and volunteer leave
- Annual bonus
- Structured job progression framework, clear career paths with opportunities for growth and advancement, regular performance reviews
- BandLab Technologies staff discounts on VMI Products, Cafe & Bar

**About BandLab Technologies**:
BandLab Technologies is a company that designs and develops innovative tools and services for the next generation of music creators: global social music creation network BandLab, digital audio workstation Cakewalk, artist services platform ReverbNation and beat marketplace Airbit.

A division of Singapore-based Caldecott Music Group, which also owns Vista Musical Instruments and NME Networks, the company’s mission is to break down the technical, geographical and creative barriers for musicians and fans worldwide.

BandLab is the flagship product of BandLab Technologies, and a leading social music creation network with a global reach of over 100 million users and growing. Its cross-platform creative ecosystem offers everything from a next-generation digital audio workstation, to an advanced suite of creator tools and features, to niche artist services. BandLab empowers creators to make music and share their creative process with creators and fans on an unprecedented level.

Diversity and Inclusion:
BandLab Technologies commits to fostering diversity and inclusion in all that we do. Regardless of race, gender identity, sexual orientation, disability, religion or any other status protected by law, we offer applicants the equal opportunity to join, belong and flourish in our company.