Machine Learning Engineer II - P2P - Personalization

📋 Description

• Design, build, evaluate, and ship LLM-based solutions for adaptive content control
• Collaborate with cross-functional teams to build new personalization features
• Prototype and productionize ML solutions at scale for hundreds of millions of users
• Promote best practices in ML systems development, testing, and evaluation
• Join an active group of machine learning practitioners

🎯 Requirements

• Experienced ML practitioner in fast-paced, collaborative environments
• Strong ML, NLP, and generative AI background with real-world applications
• Hands-on end-to-end production ML systems at scale; LLM-scale a plus
• Experience with human feedback to improve LLMs (DPO, KTO, RL tuning)
• Design end-to-end specs and modular ML architectures with product teams
• Experience with Apache Beam, Spark, and cloud platforms like GCP or AWS

🎁 Benefits

• Health insurance
• Six months paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays