Tech Stack

Description

You will manage the end-to-end lifecycle of large-scale ML models for content safety, including data exploration, training, deployment, and monitoring. Collaborate with backend and ML engineers to deploy models at massive scale and improve model accuracy for content suitability.

Requirements

• PhD or equivalent in Computer Science, Engineering, or related field
• Solid fundamentals in Computer Vision, LLMs, or Deep Learning
• Familiarity with large-scale content understanding problems
• Experience with cloud-based ML platforms and infrastructure
• Strong coding skills with proficiency in one or more programming languages

Responsibilities

• Manage end-to-end lifecycle of large-scale ML models with billions of parameters
• Implement machine learning solutions for safety-related systems
• Break down long-term product requirements into iterative deliverable stages
• Collaborate with backend and ML engineers to deploy models at massive scale