Staff Machine Learning Engineer

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, transformers, generative AI and large language models, and relevant fine-tuning processes.

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 PyTorch, Ray, Hugging Face and related tools is required.

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.

Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development

Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems

We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have

a work location.

This team operates within the Eastern Standard time zone for collaboration