WHO WE ARE:

We are a producers playground, delivering music creators the tools they need to bring their ideas to life. With a massive, industry-leading catalog of licensed samples, paired with powerful AI, and access to affordable plugins and DAWs, Splice kicks sound discovery, inspiration, and creative output into overdrive.

HOW WE WORK:

At Splice, DISCO is a rallying cry for collaboration, accountability and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric and Optimistic. Our shared success depends on our ability to support one another, work well together and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that’s thrown at us.

Splice embraces a culture of remote work. You’ll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental All Hands and get-togethers.

When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

Senior Backend Engineer - ML CoreThe Role:

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.

As a software engineer at this level:

You include customer experience when discussing engineering solutions and tradeoffs
You investigate and provide clarifying guidance for areas of significant uncertainty
You own delivering complex projects that span multiple domains and teams
You identify areas for team- and organization-wide improvement and propose solutions
You regularly seek mechanisms to ensure that deliverables meet or exceed quality standards
You provide mentorship and give candid and respectful feedback for how to improve our engineering practices
You help manage cross-team commitments, track their progress and relate that to the overall delivery roadmap in order to help prioritize the team’s work
You are flexible and readily adapt to change
You enjoy looking for personal growth opportunities and are continuously looking for ways to improve

Qualifications:

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

Our Tech Stack

Go, Python, TypeScript/NodeJS, GraphQL, Docker, MySQL, Elasticsearch, Redis
NX, Jenkins, CodeBuild, Github Actions, Datadog
Terraform, AWS, ECS Fargate, Lambda

Bonus Qualifications

Experience with data warehousing or data marts
Deep knowledge of ElasticSearch and search/indexing technologies
Experience developing ML models (eg: PyTorch, TensorFlow, Keras) for personalization
Experience with Twirp/gRPC
Experience with a strongly typed language (eg: Rust, C++, Scala, Java, C#)
Experience working with Data Engineering
Experience working with open source data management software (eg: Amundsen, Apache Superset, Apache Doris)

The national pay range for this role is $185,000 - $200,000. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.