Advanced relocation package
About BandLab
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 (CMG), 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.
The BandLab product family also includes BandLab for Education, an award-winning music creation platform with classroom management tools.
This is an opportunity to be part of an expanding Music Tech company at a growth stage and work with some of the smartest people in the industry. It is an incredibly unique place to learn a wide range of skills and address the real-world complexity of building a product that spans many countries and cultures.
Join us in realizing our vision: A future where there are no boundaries to making and sharing music.
Position
You will be part of a highly motivated, communicative, and productive backend team. We are looking for an engineer with machine learning experience who will be responsible for designing, developing, and delivering high-impact machine learning solutions to our users across a breadth of use cases. You'll have the opportunity to work on features that can meaningfully improve the quality of content delivered for millions of our users. This position is well suited for someone who is interested in the challenge of building high-performing and scalable models from concept to production. You will be part of a highly motivated, communicative, and productive backend team. You will grow in an environment passionate about knowledge-sharing and code review; experience a development culture that uses the state of the art technologies.
Responsibilities:
- Software development based on high-level requirements: estimating, designing, developing, code review, performance optimization, documentation, monitoring, bug fixing
- Communicate with other teams during the analysis and development stages
- Collaborate with the backend team members on the design and implementation stages
- Prepare infrastructure and deployment plans to bring features alive
Your qualification
- At least 3 years of software engineering experience
- Experience with machine learning & data science tools and services
- Understanding database and data management best practices
- Experience in building pipelines for the data extraction, enrichment, and classification
- Strong opinions on how to instrument their ML models that ensure quality predictions are being delivered to our users
- Willingness to learn and test new ML frameworks and services best suited to the problem
- Understanding of software engineering best practices including unit testing, continuous integration, continuous deployment, and source control Ability to work in a disciplined
- Agile environment with a commitment to appropriate engineering practices and regular delivery cycles
Will be a plus
- Excellent OOP/OOD skills, understanding of design patterns and SOLID
- Proficiency in building APIs: REST, gRPC, WebSockets
- Understanding of SOA and microservices architecture
- Work experience with SQL and NoSQL databases
- Experience in building infrastructure in a cloud environment
- Understanding of “Infrastructure as Code” technique
- Experience working in high-load client/server application development
What we offer
- Remote work or relocation sponsorship to sunny and cosmopolitan Singapore
- Working station grant/Coworking grant
- Reimbursement of medical insurance
- Business trips to HQ, Singapore