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Listed on Zencastr’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A machine learning engineer role focused on building AI systems for podcast creation, particularly in speech processing and personalization. This suits engineers with deep ML experience who want to work on large-scale systems impacting millions of users.
Our summary, not Zencastr’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Docker
- Google Cloud
- Kubernetes
- Modal
- MongoDB
- Neural Networks
- Python
- PyTorch
- scikit-learn
- SQL
- TensorFlow
Log in to see which of these are already on your profile.
What they ask for
Required
- Postgraduate degree in Machine Learning, Mathematics, Computer Science, or related quantitative field
- 5+ years Python experience
- 3+ years machine learning research with speech focus
- 3+ years training or deploying neural networks
- Experience with PyTorch, TensorFlow, or Scikit-Learn
- Production-ready ML systems experience
- Ability to lead design and implementation of major software components
- Build model prototypes quickly
- Cloud technologies experience (Google Cloud, AWS, or Modal)
- Self-starter who drives projects independently
Nice to have
- Publications in peer-reviewed journals
- Modern speech processing frameworks
- DevOps experience
- Advanced DSP experience
- MongoDB or SQL experience
- Unit, integration, and load testing experience
- API building experience
- Docker containers and container clustering experience
- Kubernetes experience