We build AI systems that simulate how people explore digital experiences, helping commerce teams evaluate and improve websites. We're hiring for two roles:
Full-Stack Engineer — $90k–150k USD/year. Own features across the UI, APIs, and data layer; turn tickets into small, tested PRs and follow them through release. Relevant stack: React/Next.js, TypeScript, Python APIs, Postgres, browser automation. We want someone who uses AI coding tools well and can independently debug and validate what they ship. Strong projects and early-career builders welcome.
PhD Researcher — $60–70 USD/hour, part-time alongside current full-time PhD enrollment. Work on LLM/browser-agent evaluation, persona calibration, behavioral modeling, experimental design, and comparison with real A/B-test outcomes. Strong Python and research methods matter; bring a paper, repository, benchmark, or experiment you can explain deeply. US work authorization required; applicable CPT/OPT welcome. Schedule agreed around your doctorate.
Apply: tyler@squoosh.ai, subject “HN — Full Stack” or “HN — PhD Researcher”. Include a resume/CV, a shareable work sample and your personal contribution; PhD applicants please include availability and research area.