# Member of Technical Staff, Post-training at Hark

- Company: Hark
- What the company does: At Hark, we are building the most advanced personal intelligence in the world.
- Company website: https://hark.com
- Type: Startups
- Level: Senior
- Location: San Jose
- Work setup: On-site
- Pay: $180K to $450K base salary per year (USD)
- Posted: 2026-03-23
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/hark/jobs/4193741009
- Page: https://www.1752.vc/careers/jobs/hark-member-of-technical-staff-post-training/

## About the role

We are looking for a Member of Technical Staff, Post-Training to lead the development of post-training strategies that define how our models acquire coding, computer use, and agentic capabilities at scale.

## What they're looking for

- Strong background in machine learning, with hands-on experience training or fine-tuning large models — LLMs, multimodal, or equivalent systems
- Deep understanding of reinforcement learning: policy optimization, reward design, exploration, and the interplay between environment design and agent behavior
- Experience building or working within simulation or execution environments (e.g., code interpreters, sandboxed execution, game environments, robotics simulators)
- Proven ability to design and execute rigorous experiments, with strong intuition for diagnosing training failures and scaling bottlenecks
- Proficiency in Python and PyTorch, comfort working across research and systems code
- Ability to work in a fast-moving, research-forward environment where the right approach is often unknown at the outset

Tags: Computer Use Agents