AI Research Engineer

ABOUT POSTHOG We're shipping every product that companies need https://posthog.com/handbook/why-does-posthog-exist to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software. We started with open-source product analytics, launched out of Y Combinator's W20 cohort https://posthog.com/handbook/story. We've since shipped more than a dozen products https://posthog.com/products, including: - A built-in data warehouse https://posthog.com/docs/data-warehouse, so users can query product and customer data together using custom SQL insights. - A customer data platform https://posthog.com/docs/cdp, so they can send their data wherever they need with ease. - PostHog AI https://posthog.com/ai, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. Next on the roadmap are Workflow, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it! We are: 1. Product-led. More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. 2. Default alive https://paulgraham.com/aord.html. Revenue is growing 10% MoM on average, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. 3. Well-funded. We've raised more than $100m from some of the world's top investors https://posthog.com/handbook/strategy/investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible https://posthog.com/deskhog. THINGS WE CARE ABOUT - Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook https://posthog.com/handbook. Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. - Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams https://posthog.com/handbook/wide-company and make product decisions https://posthog.com/handbook/which-products. Teams are flexible and easy to change when needed. - Shipping fast: Why not now? https://posthog.com/handbook/values#why-not-now We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers https://posthog.com/founders/cracked-manifesto who can outship much larger companies because they own their products end-to-end. - Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication – PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days https://posthog.com/handbook/company/culture#were-on-the-makers-schedule, and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had. - Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there. - Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy https://posthog.com/deskhog with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun. WHO WE'RE LOOKING FOR PostHog is working on a self-driving product and is training its own Deep ML models for this, and to do this we have a new AI Research team.
 We track more products across more dimensions than any other company on earth. Because of this, we have Petabytes of data across events, errors, session replays, revenue data and more. It’s an exceptionally large amount of data relative to our company size and we want to use it for our users' benefit. Just imagine how, with the vast amount of data we capture, we can automatically surface insights and suggest fixes. As an AI Research Engineer, you will be a substantial part in making this happen. This team is brand new, so you will have real autonomy, be close to customers, and greatly influence what we actually ship. On the finance side, we have around $150M in balance, we’re default alive and have had a rapidly growing, real business that makes good margins, runs exceptionally efficiently, and has already been scaling rapidly, for 6 years.
 We invest in what we believe moves the need WHAT YOU'LL BE DOING You'll be part of a team that does research into what's next, what's better, and actually bring that in production. Areas we’re exploring - Session replay analysis:
 We already detect issues in replays, but it’s expensive and doesn’t scale. With better models (and a huge amount of DOM mutation data), we think we can make this faster, cheaper, and best-in-class. - User behavior prediction:
 Identifying drop-offs, suggesting improvements, and potentially improving conversion rates automatically without heavy manual analysis or agent overhead. - Synthetic user testing: 
Simulating users to catch confusing flows or breakages before release. If this works, it could remove one of the biggest bottlenecks in modern engineering: testing (not writing code anymore). JOB REQUIREMENTS - PhD is a plus, a strong background in math is a need - or you have worked on training models previously (strong math skills are still a need) - Strong Pytorch experience - Strong ability to code in Rust, CUDA, or C (Rust has a preference) - Solid understanding of Transformers (not the movies) - A product mindset, you’ll be building things! - This is a unique role within PostHog and as such it is Hybrid Remote at the London Office WHAT WE’RE NOT LOOKING FOR - Pure theoretical expertise, this is not a Jupyter notebook job - Someone who just wants to do research and publish. Yes you can publish, but shipping has priority If you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! #LI-DNI