Senior Machine Learning Infrastructure Engineer, Embedding Platform

About the Role:

• Work across model development and ML platform to build large-scale learning systems for recommendation and personalization.
• Own major technical components end to end, from design to production deployment.

Responsibilities:

• Design, train, and improve large-scale ML platforms for recommendation or personalization systems.
• Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment.
• Drive rigorous offline and online evaluation including experimentation and model diagnostics.

Qualifications:

• 5+ years of experience in ML engineering with focus on large-scale infrastructure and recommendation systems.
• Expertise in modern deep learning architectures including sequence models and foundation models.
• Strong software engineering fundamentals and proficiency in Python and ML frameworks like PyTorch or TensorFlow.

Benefits:

• Comprehensive healthcare and income replacement programs.
• 401k with employer match and global benefit programs.
• Flexible vacation, paid volunteer time off, and generous paid parental leave.