Splice

πŸ‘₯ 101-250πŸ’° $55,000,000 Series D almost 4 years agoMedia and EntertainmentMusicMachine LearningSoftwareπŸ’Ό Private Company
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Splice empowers music creators worldwide by providing a comprehensive platform for sound discovery and production. We combine a vast catalog of high-quality licensed samples with powerful AI tools to accelerate the creative process. Our rent-to-own marketplace further expands access to essential plugins and DAWs, making professional-grade music production more accessible. Splice occupies a leading position in the music technology industry, impacting how millions of artists create and share their work. Our unique value proposition lies in seamlessly blending cutting-edge technology with a deep understanding of the creative workflow. Our engineering teams leverage a robust tech stack including Go, Python, TypeScript/NodeJS, GraphQL, Elasticsearch, and cloud services like AWS. We champion a collaborative, remote-first culture fostering innovation and flexibility. Our 'DISCO' values – Direct, Inclusive, Splice Together, Creator Centric, and Optimistic – guide our interactions and decision-making. We are committed to ethical and responsible AI development, prioritizing a creator-centric approach. Splice is a well-funded, rapidly growing company with a strong track record of success. We've secured multiple rounds of funding and consistently deliver innovative features and improvements. We're a team of passionate music lovers and technology experts working together to shape the future of music creation. Our commitment to remote work allows us to attract and retain top talent from across the globe, fostering a diverse and inclusive team. We offer a supportive work environment with benefits that include unlimited PTO, comprehensive healthcare, and generous parental leave. Join Splice and contribute to a company transforming the music industry.

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πŸ“ U.S.

πŸ’Έ 135000.0 - 147500.0 USD per year

πŸ” Music production

  • Minimum 5 years of experience building and shipping AI/ML-driven personalization products.
  • Deep understanding of search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning models.
  • Proven track record with making data-informed decisions and defining metrics.
  • Strong relationship-building abilities and collaborative mindset.
  • Experience delivering products end-to-end that drive measurable business outcomes.
  • Strong understanding of UX/UI and user experience mapping.

  • Develop and own the product vision, strategy, and roadmap for Search & Personalization.
  • Partner closely with engineering and data science teams to ship products and features that enhance user engagement.
  • Translate complex technical capabilities into clear product requirements.
  • Design and implement A/B tests and multivariate experiments.
  • Communicate effectively with all stakeholders.
  • Collaborate with design to create intuitive user experiences.
  • Define and track key performance metrics (KPIs).
  • Conduct user research and analyze behavioral data.
  • Analyze experiment results and draw actionable insights.
  • Stay updated with industry trends and technologies.

Data AnalysisElasticSearchMachine LearningA/B testing

Posted 24 days ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 185000 - 200000 USD per year

πŸ” Music technology

  • 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.

  • 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.

AWSDockerGraphQLPostgreSQLPythonSQLElasticSearchJenkinsKerasMySQLPyTorchTypeScriptData engineeringGogRPCRDBMSRedisTensorflowCollaborationTerraformSaaS

Posted about 2 months ago
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πŸ“ US, UK

🧭 Full-Time

πŸ’Έ 165000 - 206000 USD per year

πŸ” Music production and audio technology

  • Ph.D. or Master's degree in Electrical Engineering, Computer Science or related Engineering discipline.
  • Background or proven experience in Digital Signal Processing.
  • Proven experience (2+ years) in an Applied Research role focused on Latent Diffusion based generative models or symbolic music generation.
  • Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with software development best practices and version control systems (e.g., Git).
  • Strong communication and collaboration skills.

  • Conduct literature research and experimentation in ML-based generative audio using Latent Diffusion and symbolic music generation.
  • Collaborate with ML Engineers to design model architectures for audio synthesis and music generation.
  • Develop proof-of-concept prototypes and iterate based on feedback.
  • Engage with academic communities and stay updated with advancements in generative models.
  • Document research findings and share insights with team members.

PythonSoftware DevelopmentArtificial IntelligenceGitMachine LearningPyTorchProduct DevelopmentTensorflowCollaboration

Posted 3 months ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 165000 - 206000 USD per year

πŸ” Music and Audio Technology

  • Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
  • Proven track record in designing, training, evaluating, and deploying ML models in production.
  • 2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
  • Specific experience with Latent Diffusion Models and Transformer-based architectures.
  • Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
  • Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
  • Familiarity with software development best practices and version control systems, e.g., Git.

  • Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
  • Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
  • Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
  • Integrate ML models into Splice’s products to enhance experiences for music creators.
  • Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
  • Stay updated with advancements in machine learning and share insights with the team.
  • Document experiments and provide technical guidance to team members.

AWSDockerPythonSoftware DevelopmentArtificial IntelligenceGCPGitKubernetesMachine LearningPyTorchC++AzureTensorflowCollaboration

Posted 3 months ago
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