3 months ago
London, United KingdomMid Level
Responsibilities
- Research and develop new AI and deep learning approaches for PostHog's self-driving product.
- Build and productionize systems for session replay analysis using large-scale DOM mutation data.
- Develop models for user behavior prediction, drop-off identification, improvement suggestions, and potential conversion-rate optimization.
- Explore synthetic user testing to identify confusing flows and product breakages before release.
- Work closely with customers and influence the products shipped by the new AI Research team.
- Prioritize shipping practical products over purely theoretical research or publication.
Requirements
- Strong mathematical background or previous experience training models, with strong math skills required.
- Strong experience with PyTorch.
- Strong ability to code in Rust, CUDA, or C; Rust is preferred.
- Solid understanding of Transformers.
- A product mindset and willingness to build and ship products.
- A PhD is a plus but is not stated as required.
Benefits
- Hybrid-remote position based out of PostHog's London office.
- Natively remote, async-first working environment with meeting-free Tuesdays and Thursdays.
- Substantial autonomy and influence on a brand-new AI Research team.
- Accessible interview process with accommodations available upon request.
About PostHog
PostHog builds an open‑source, all‑in‑one platform for product teams and engineers that combines product analytics, session recordings, feature flags, A/B testing, a built‑in data warehouse, and AI‑assisted analysis. The company offers self‑hosted and hosted plans (US/EU) with SOC 2, GDPR, and HIPAA compliance. Founded in 2020 in San Francisco after Y Combinator’s W20 cohort, PostHog monetizes through paid cloud and enterprise subscriptions.