ML Engineer

Catalyst Labs
New York, CA
Category Engineering
Job Description
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle, architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding, and handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.

Benefits

  • Above market base + bonus + equity
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