Senior AI/ML Engineer – Personalization, Bandits & AI Agents

We’re a founder-led AI company building an autonomous growth platform that decides, for every customer, which offer, message, channel and timing will work best, and learns from the results. We’re looking for a hands-on senior engineer who has built these decision systems in production.
Location: Remote (3–4 hrs daily overlap with US Pacific time)
Experience: 6+ years of software or ML engineering
Reports to: Founder & CEO
You must have:
Built and run a production system that chooses between options for each user and learns from outcomes, using multi-armed bandits or reinforcement learning on live traffic (e.g., recommendations, ranking, ad or offer selection, pricing, or send-time/channel optimization)
3+ years shipping LLM features or AI agents to real users (not proofs of concept)
6+ years of hands-on engineering, excluding internships, teaching and study periods
Writing code most of the week today, with experience as the technical lead on a product
Strong Python (TypeScript is a plus)
This role is not a fit if your RL experience is only:
RLHF/DPO fine-tuning, A/B testing of prompts or models, building RL environments or training data for AI labs, or coursework/research projects.
You’ll likely be a great fit if you’ve worked as:
Applied Scientist, ML Engineer (Personalization, Recommendations, Ranking, Ads) or Decision Scientist at a consumer product company in e-commerce, food delivery, ride-hailing, fintech, gaming, adtech or martech.
What you’ll do:
Own the bandit/RL decision loops at the core of our platform, including reward design and evaluation
Build and ship AI agents that plan and optimize campaigns
Write most of the critical code yourself while leading architecture
Why join us: Small team, direct work with our CEO, and real ownership of the product.

Work arrangement
Yes