AI Engineer - Reinforcement Learning

• Design and implement RL environments for supply chain decision-making
• Develop reward functions that capture what "good" looks like for our agents
• Create evaluation frameworks to measure agent performance and catch failure modes
• Build data pipelines for training and human feedback collection
• Document what works (and what doesn't) so we can compound our learnings
• Stay on top of industry trends and cutting edge use cases

• 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

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