Key skills
ApacheAWSCloudGoogle Cloud PlatformJavaPythonPyTorchRayScalaSparkAIMachine LearningMLGenerative AILarge Language ModelsHugging FaceApache SparkGCPGoogle CloudAgile
About this role
Role Overview
- 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
- lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
Requirements
- strong background in machine learning
- expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models
- hands-on experience with large cross-collaborative machine learning projects
- 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
- cloud platforms like GCP or AWS
- care about agile software processes, data-driven development, reliability, and disciplined experimentation
Tech Stack
- Apache
- AWS
- Cloud
- Google Cloud Platform
- Java
- Python
- PyTorch
- Ray
- Scala
- Spark
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- paid sick leave