Applied ML Engineer
Splash
full-time
Posted on:
Location Type: Remote
Location: Australia
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About the role
- 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, working remotely with a global team with regular trips to our HQ in Brisbane Australia
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonPyTorchdata pipelinesaudio analysismelody generationA/B testingdomain shift testingQApre-trained models
Soft Skills
applied problem-solvingproactive naturecreativityclear communicationcollaborationindependenceteamworkeffective communicationadaptabilitycritical thinking