Design, test, and iterate on reward functions that capture the behaviors we want from LLM agents
Review LLM traces and rollouts to understand model reasoning, failure modes, reward hacking, and shortcut behaviour
Identify when an LLM is exploiting the reward function, escaping the intended RL process, or optimizing for proxy metrics instead of the real objective
Improve reward models, environment design, prompts, tools, and feedback loops based on observed model behaviour
Build evaluation frameworks to measure model quality, agent performance, robustness, and failure modes
Create data pipelines for training, fine-tuning, preference data, synthetic data generation, and human feedback collection
Develop tooling that improves how the team builds, tests, debugs, and deploys AI-assisted workflows
Experiment with RL, RLHF, RLAIF, reward shaping, policy optimization, and agent training techniques
Document what works, what fails, and why, so we can compound our learnings over time
Stay close to the frontier of LLMs, agents, evaluations, and applied AI engineering
We want to talk if you
You've trained or fine-tuned LLMs
Are excited about AI-assisted tools and getting the most out of them
Build & customize your own AI workflows
Have experience working with AI agents and RL environments in production
Are proficient in Python and PyTorch
Can balance research exploration with shipping working code
Hands on experience with RL techniques (reward shaping, policy optimization, RLHF)
Thrive in fast-moving environments where priorities shift
Care about craft in your work
Are curious about why things work, not just that they work
Bonus points if
You have experience with human-in-the-loop ML systems
You've built evaluation frameworks for open-ended tasks
You're familiar with supply chain, logistics, or operations domains
You have a side project that shows you can't stop tinkering
#LI-HG1
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
