Backend Developer / ML Engineer

About BandLab

BandLab is the flagship digital product in BandLab Technologies’ portfolio of music brands, and a leading social music creation platform with a global reach of over 30 million users. Through its best-in-class digital audio workstation (DAW) and audio hardware division, BandLab empowers creators to make music and share their creative process with musicians and fans on an unprecedented level. With something as simple as a mobile phone, people have gone from strumming guitars in their bedroom, spitting rhymes in the car, or singing in the shower — to creating amazing studio-quality tracks with people from all over the world.

The BandLab product family also includes BandLab for Education, an award-winning music creation platform with classroom management tools, and Cakewalk by BandLab, a professional-level digital recording studio for career musicians and producers.

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

Additional details

Further readings:

• BandLab Decreases Costs and Improves Availability Using Amazon S3
• BandLab welcomes users by the millions with AWS
• Under the hood: Making BandLab Sounds
• BandLab crosses 30 million users around the globe