Applied Scientist (Behavior & Modeling)

Imagine websites that rebuild themselves on autopilot to sell more, convert better, and grow faster.
At Shuttlebase, we’re making that happen merging generative AI, large-scale data pipelines, and experimentation into a self-evolving web.

We’re a well-funded, very early-stage startup with a massive vision. Joining now means you’re not just an employee you’re helping set the technical and cultural DNA of the company. If you’ve ever wanted the autonomy of a founder with the backing of top-tier investors, this is it.

🤓 As Applied Scientist, Behavior Modeling, the company expects you to carry out the following tasks:

• Build the first version of Shuttlebase’s behavior model, which turns raw session events into embeddings of visitor behavior. You choose the approach. Pre-training a transformer on event sequences is a likely starting point.
• Work with short, anonymous sessions, where most visitors never come back.
• Use the model to detect buying intent during a session and group visitors into audiences, so the AI can show each group the right version of the page.
• Get a first version live on real stores quickly, then improve it step by step.
• Read new research, test promising methods on Shuttlebase’s data and decide what to adopt.
• Work daily with the engineers who build on top of the model, and with the client team that explains results to stores.

✨ You’re the person they’re looking for if...

• You have a PhD or equivalent research experience in a quantitative field (physics, math, computational biology, neuroscience or similar). An exceptional master’s is also considered (Required)
• You have trained models on messy, real-world sequence or time-series data and can show whether they worked (Required)
• You have a proven track record shipping ML models to production in industry (Required)
• You have working knowledge of sequence learning (transformers, self-supervised pre-training, embeddings), enough to choose between approaches and explain why (Required)
• You have solid Python and can pull your own data with SQL (Required)
• You can explain technical work to non-specialists, through talks or writing
• You stay on top of current research and know how to apply it to real products
• You are available to work onsite 4 days per week in Midtown Manhattan, NYC (Required)

💜 They’ll be even more excited about you if you also...

• Have experience with recommendation systems, user behavior data, large event datasets or eCommerce
• Have startup experience
• Have worked with ClickHouse or AWS