Machine Learning Engineer at Zendesk

Setup: Remote, Hybrid
Type: Full-time
Level: not_specified

Description

Zendesk is seeking a highly experienced Machine Learning Engineer specializing in Large Language Models and Multi-Agents to advance their Resolution Platform. The role involves pushing architectural boundaries, developing domain-specialized agent models using reinforcement learning, hardening evaluations, and implementing robust guardrails against potential threats. Candidates should possess over five years of hands-on experience in production ML/AI systems, strong evaluation instincts, and proficiency in Python and PyTorch.

Required Skills

large language models
planning algorithms
multi-agent coordination
advanced memory structures
autonomous learning mechanisms
ML/AI systems
agent architectures
evaluation instincts
Python
PyTorch

Additional Information

Required Previous Experiences: 5+ years building production ML/AI systems
Preferred Qualifications: Experience with or genuine depth in RL for language models: reward shaping, online/offline tradeoffs, reward hacking as a diagnostic signal.