Senior Machine Learning Engineer (Remote)

The role

You will design, research, and develop machine learning applications and algorithms to improve the podcast creation experience. You will collaborate with research scientists, data scientists, and engineers to prototype and productize ML at the intersection of speech processing and user satisfaction.

What you will do

• Design, research and develop state-of-the-art machine learning applications and algorithms
• Collaborate with engineering partners to build new product features
• Drive forward audio and text capabilities within the ML team
• Work with minds in signal processing

Required qualifications

• Postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
• 5 + years experience in Python
• 3+ years experience in machine learning research, with a focus on speech
• 3+ years experience training or deploying neural networks
• Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
• Experience with building and operating production-ready ML systems
• Ability to lead design and implementation of major software components, systems, and features
• Enjoy quickly building model prototypes
• Experience with cloud technologies (Google Cloud, AWS, Modal)
• Self-starter who drives own projects and builds positive relationships

Nice to have

• Publications in peer-reviewed journals from a related field
• Experience with modern speech processing frameworks
• Good dev ops experience
• Advanced DSP experience
• MongoDB or SQL experience
• Experience with unit, integration, and load testing
• Experience building APIs
• Experience with Docker containers, Implementing Docker Containers, Container Clustering
• Experience with container orchestration technology such as Kubernetes

About the company

Zencastr builds end-to-end AI systems, core microservices, and infrastructures to impact millions with personalized user experiences.