Senior Machine Learning Engineer II

Tech Stack

Responsibilities

• Lead research and development of pCTR and conversion prediction models, focusing on improving calibration and reducing training data biases.
• Design and implement debiasing techniques such as Mixed Negative Sampling (MNS), Inverse Propensity Weighting (IPW), counterfactual risk minimization, and calibration methods.
• Contribute to the next-generation Multi-Domain Multi-Task (MDMT) model architecture, incorporating innovations like Mixture-of-Experts (MoE) and Transformer layers.
• Drive sequence modeling initiatives including the TIGER generative retrieval system and Semantic ID representation learning.
• Formulate and scope ambiguous modeling problems from first principles, translating business observations into well-defined ML research directions.

Soft Skills

Benefits

• Dental
• Equity
• Health Insurance
• Remote Work
• Vision

Culture

Requirements