Applied Machine Learning Engineer - Remote

Overview

As an Applied Machine Learning Engineer at Splash, you will focus on practical solutions and software development to enhance music creation tools using machine learning and AI.

In Short

• Design and implement ML algorithms for music creation tools.
• Identify and implement off-the-shelf ML and AI tools.
• Understand production requirements for ML models.
• Maintain production-ready code with user experience in mind.
• Build scalable data pipelines for audio and unstructured data.
• Collaborate with Product and Engineering teams for integration.
• Evaluate and fine-tune pre-trained models for audio tasks.
• Uphold ethical AI practices in music applications.
• Work independently and remotely with cross-functional teams.
• Communicate effectively with technical and non-technical stakeholders.

Requirements

• Proven software development experience, ideally in Python.
• Experience with ML model implementation and deployment, especially using PyTorch.
• Familiarity with AWS for deploying ML solutions.
• Ability to preprocess unstructured data, particularly audio.
• Strong problem-solving skills and practical approach to tools integration.
• Understanding of music production or a strong interest in music.
• Familiarity with GenAI architectures like transformers and LLMs.
• Proactive and creative problem-solving abilities.
• Clear communication skills with diverse stakeholders.
• Ability to work independently while collaborating closely.

Benefits

• Work with industry veterans from top music platforms.
• Be part of an innovative team redefining music creation.
• Flexible work arrangements and remote work options.
• Opportunity to contribute to cutting-edge music technology.
• Commitment to diversity, equity, and inclusion within the team.