Production ML Engineer - Audio/Music Systems

Smule; Salt Lake City (UT); On-site; USD 110,000 - 150,000; Full time

Job summary

Smule is seeking a Machine Learning Engineer to oversee the full lifecycle of ML models in production. This role involves designing, building, and maintaining production pipelines as well as optimizing models for performance and reliability. Ideal candidates will have strong engineering skills and a passion for machine learning, alongside a degree in a related field.

The position is crucial for building scalable systems that serve millions of users, making it an exciting opportunity to be at the forefront of musical innovation.

Qualifications

• Degree in a relevant field or currently pursuing one.
• Strong proficiency in Python.
• Experience with deep learning serving tools.

Responsibilities

• Design, build, and maintain production ML pipelines.
• Optimize models for production constraints.
• Implement monitoring and observability for deployed models.
• Collaborate with research scientists on new model integration.
• Build CI/CD pipelines for ML.
• Manage compute infrastructure and costs.

Skills

Python

Deep learning serving

Systems engineering

Networking

Containerization

Monitoring

Education

Degree in Computer Science, Software Engineering, or related technical discipline

Tools

TorchServe

Triton

vLLM

Job description

Smule is seeking a Machine Learning Engineer to oversee the full lifecycle of ML models in production. This role involves designing, building, and maintaining production pipelines as well as optimizing models for performance and reliability. Ideal candidates will have strong engineering skills and a passion for machine learning, alongside a degree in a related field.

The position is crucial for building scalable systems that serve millions of users, making it an exciting opportunity to be at the forefront of musical innovation.