Staff Machine Learning Engineer, Home Podcast

What You'll Do

• 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

Who You Are

• Strong background in machine learning with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
• Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• 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
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or Scio
• Experience with cloud platforms like GCP or AWS
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation