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- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
- You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models
- You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
- Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
- We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
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