Applied ML Engineer

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August 8

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Splash

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Gaming • Artificial Intelligence • B2C

Splash is an innovative platform that empowers users to create music and perform live in immersive virtual experiences. Leveraging proprietary technology and a vast library of sound packs, Splash enables users to create music easily without the need for expensive equipment or prior musical knowledge. With a presence on Roblox, Splash offers users a unique opportunity to engage in interactive music-making and showcase their creativity in an ever-evolving digital environment, making it a hub for new generation creators.

11 - 50 employees

Founded 2017

🎮 Gaming

🤖 Artificial Intelligence

👥 B2C

📋 Description

• About Splash • At Splash, our mission is to make music creation accessible for everyone. Since 2017, we’ve been pioneering the intersection of artificial intelligence and music, creating tools that empower young creators and music enthusiasts. • Backed by leading investors such as Amazon's Alexa Fund and Khosla Ventures, we are expanding rapidly, assembling a diverse team of musicians, engineers, and creatives passionate about shaping the future of music and AI. • About the Role • We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production-ready API code). • In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. • This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product. • Key Responsibilities: • Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals. • Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently. • Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on. • Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience. • Build scalable, maintainable data pipelines to handle audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems. • Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation. • Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications.

🎯 Requirements

• Proven software development experience, ideally in Python (other languages a plus). • Experience implementing and deploying ML models, using PyTorch framework. • Familiarity with AWS cloud environment for deploying and scaling ML solutions. • Ability to preprocess and model unstructured data, especially audio. • A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems. • A good understanding of music, production, or audio technology processes (or a strong interest in music). • Familiarity with GenAI architectures like transformers, LLMs, or diffusion models. • Proactive nature, ability to creatively solve problems you face and bring new ideas to the team. • Clear and effective communication with technical and non-technical stakeholders. • Ability to work independently and remotely while collaborating closely with cross-functional teams.

🏖️ Benefits

• Flexible work arrangements • Work directly with industry veterans from Spotify, Soundcloud, Twitch, and YouTube. • Be part of a passionate, innovative team redefining music creation and interaction - we love music! • Small, dynamic team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures and King River Capital. • The opportunity to contribute to cutting-edge music technology.