AI Research Engineer

Навыки

• CUDA / ONNX / TensorRT
• Продуктовое мышление
• DWH
• HTML
• Machine Learning
• PyTorch
• Роадмап

О компании и продукте

• Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools.
• PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously.
• 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:
• PostHog Code https://posthog.com/code, the only AI devtool that understands your product, not just your codebase.

Задачи

• You'll be part of a team that researches what's next and what's better, and actually brings it into production
• Areas we’re exploring
• Session replay analysis: We already detect issues in replays, but doing so is 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 (rather than writing code)

Требования

• PostHog is working on a self-driving product and is training its own Deep ML models. 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 play 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 on our balance sheet, we’re "default alive," and we have a real business that has been scaling rapidly and running exceptionally efficiently with good margins for six years
• We invest in what we believe moves the needle
• A PhD is a plus, but a strong background in math is a must, or you have previous experience training models (strong math skills are still required)
• Strong PyTorch experience
• Strong ability to code in Rust, CUDA, or C (with a preference for Rust)
• 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, is a hybrid-remote position based out of our 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 takes priority
• We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know

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