Lead Post-Training AI Engineer for Agentic Coding

Hark, Inc.; San Jose (CA); On-site; USD 180,000 - 450,000; Full time

Job summary

Hark, Inc. in San Jose is seeking a Member of Technical Staff, Post-Training to lead the development of strategies for agentic AI capabilities. This role focuses on reinforcement learning and large-scale model training to produce intelligent systems.

The ideal candidate will have a strong background in machine learning, particularly in reinforcement learning, and experience with Python and PyTorch. Competitive salary offered ranging from $180,000 to $450,000 annually.

Qualifications

• Strong background in machine learning with experience training large models.
• Deep understanding of reinforcement learning concepts.
• Experience building simulation or execution environments.

Responsibilities

• Design post-training strategies to develop coding agents.
• Build simulation environments for RL.
• Develop reward modeling pipelines for training.

Skills

Machine learning

Reinforcement learning

Python

PyTorch

Tools

Simulation environments

Execution environments

Job description

Hark, Inc. in San Jose is seeking a Member of Technical Staff, Post-Training to lead the development of strategies for agentic AI capabilities. This role focuses on reinforcement learning and large-scale model training to produce intelligent systems.

The ideal candidate will have a strong background in machine learning, particularly in reinforcement learning, and experience with Python and PyTorch. Competitive salary offered ranging from $180,000 to $450,000 annually.