Staff Machine Learning Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Mon, Oct 19, 2026
This job expires in: 30 days
Job Summary
Driving the future of personalized discovery, the full-time Staff Machine Learning Engineer will enhance machine learning models and systems for podcast recommendations, collaborating remotely with cross-functional teams to optimize user experiences for millions of listeners globally.
Key responsibilities
- Own and improve machine learning models for the Home feed and Shortcuts experience
- Design and implement personalized recommendations for a global audience
- Mentor other Machine Learning Engineers and contribute to the long-term architecture of personalization systems
Required qualifications
- Deep experience in building and deploying machine learning systems in production environments
- Proficiency in Python and hands-on experience with PyTorch
- Experience with large language model training and optimization techniques
- Familiarity with distributed machine learning workloads and data pipeline technologies
- Strong background in recommendation systems and content discovery platforms
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