Headquartered in Singapore, BandLab Technologies is a collective of global music brands with a vision to connect the world of music. We bring together remarkable brands and people that are passionate about music, and we seek to leverage the opportunities that allow us to achieve more together than we can individually. We believe that integrating the physical, digital and social supply chain around music will create better experiences and opportunities for musicians and fans.
About the 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
Requirements
- At least 3 years of software engineering experience
- Experience with machine learning amp; 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
Nice-to-haves:
- 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
Benefits
- Remote work or relocation sponsorship to sunny and cosmopolitan Singapore
- Working station grant/Coworking grant
- Reimbursement of medical insurance
- Business trips to HQ, Singapore