Machine Learning Engineer, Recommendations (Remote or Singapore)

About BandLab

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 (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.

About BandLab:

BandLab is the flagship product of BandLab Technologies, and a leading social music creation network with a global reach of over 60 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

We are looking for an engineer to become a part of our Recommendations project. You will be part of a highly motivated, communicative, and productive backend team. You 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 impact BandLab's ecosystem: you will be involved in designing, building, and owning a highly scalable recommendation system that will make the experience for our tens of millions of users personalized and unique. 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 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
• Work within a cross-functional team consisting of engineers, product managers, and designers
• Develop the full ML pipeline of analyzing data from our traffic, collecting training data, defining evaluation criteria, training models, deploying models to production, and re-training models
• Define the requirements for measuring and monitoring online ML model performance
• Collaborate with the backend team members on the design and implementation stages
• Prepare infrastructure and deployment plans to bring features alive
• Work with our cloud infrastructure in Azure and AWS
• Write understandable, testable, and maintainable code

Your qualification

• 3+ years of industry hands-on experience in building machine learning models
• Experience building in-production recommendation systems
• Have experience in big data technologies – streaming data architecture, data pipelines, etc.
• Understanding of SOA and microservices architecture
• 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

Will be a plus

• 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 working options or relocation sponsorship to sunny and cosmopolitan Singapore.