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Senior Software Engineer II, ML Core (Remote)

Posted about 2 months agoViewed

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💎 Seniority level: Senior, Several years

📍 Location: U.S.

💸 Salary: 185000 - 200000 USD per year

🔍 Industry: Music technology

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D almost 4 years agoMedia and EntertainmentMusicMachine LearningSoftware

🗣️ Languages: English

⏳ Experience: Several years

🪄 Skills: AWSDockerGraphQLPostgreSQLPythonSQLElasticSearchJenkinsKerasMySQLPyTorchTypeScriptData engineeringGogRPCRDBMSRedisTensorflowCollaborationTerraformSaaS

Requirements:
  • Experience with Elasticsearch and optimizing data representations, queries, and clusters.
  • Relevant work experience building production software using Go and Python.
  • Experience deploying and managing ML models in production.
  • Several years of experience with RDBMS such as MySQL or PostgreSQL.
  • Experience with SaaS and cloud provider primitives.
  • Bias towards action and experimentation with a focus on quality.
Responsibilities:
  • Help define the architecture and drive implementation changes across multiple backend services.
  • Translate large-scale architectural changes into manageable outcomes.
  • Optimize search infrastructure and create mechanisms for ML model productionalization.
  • Advocate for system designs and APIs that facilitate best practices.
  • Deliver complex projects across teams, track progress, and enhance engineering practices.
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🔥 Senior Software Engineer II, ML Core (Remote)
Posted about 1 month ago

📍 US, UK

🧭 Full-Time

💸 185000.0 - 200000.0 USD per year

🔍 Music technology

  • Worked with Elasticsearch, optimizing data representations, queries, and clusters.
  • Relevant work experience building and evolving production software using Go and Python.
  • Experience deploying and managing ML models in production environments.
  • Several years working with RDBMS such as MySQL or PostgreSQL and crafting performant SQL queries.
  • Experience leveraging SaaS and cloud provider primitives.

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

AWSDockerGraphQLLeadershipPostgreSQLPythonSQLElasticSearchJenkinsKerasMySQLPyTorchTypeScriptData engineeringGogRPCRDBMSRedisTensorflowCollaborationTerraformSaaS

Posted about 1 month ago
Apply