Senior Software Engineer - ML Core

November 20, 2024

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Splice

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Splice is a company dedicated to revolutionizing the music creation process by providing an essential ecosystem for artists. They offer integrated tools, a vast catalog of sounds, and skills tutorials taught by top artists and industry professionals, making music creation easier and more accessible. Splice emphasizes a flexible and inclusive work culture, with perks such as unlimited paid time off, education support, and a focus on collaboration and diversity. They strive to demystify and democratize music creation, putting the artist first in all their endeavors.

51 - 200 employees

Founded 2013

📱 Media

📚 Education

👥 B2C

📋 Description

• You will help define the architecture and drive implementation changes across multiple backend services that power Splice’s next generation products. • You will translate those large-scale architectural changes into manageable, incremental outcomes that provide ongoing customer benefits. • You will help optimize our search infrastructure and create mechanisms for safe and rapid ML model productionalization. • You will advocate for system designs and APIs that make “The right thing, the easy thing.” • You will drive solutions that are both technically and organizationally scalable.

🎯 Requirements

• You have worked with Elasticsearch, optimizing data representations, queries, and clusters to produce high-quality customer experiences • You have relevant work experience building and evolving production software using Go and Python • You have experience deploying and managing ML models in production environments • You have several years working with RDBMS such as MySQL or PostgreSQL and crafting performant SQL queries • You have experience leveraging SaaS and cloud provider primitives to their fullest potential • You work backwards from the customer experience • You share our vision to enable artist creativity and continue our path becoming the most iconic music company in the world • You are comfortable having build-versus-buy tradeoff conversations • You’re self-directed towards generating excellent work outcomes • You ensure shared understanding about the definition of done • You have a bias towards action and experimentation • You are focused on quality over quantity • You are comfortable, or even prefer working across technical stacks • You are outcome-focused and consider how we will know whether our deliverables meet customer expectations • You communicate clearly and effectively with technical and non-technical audiences • You are comfortable writing, deploying, evolving, and deleting code