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MTS: Behavioral Research Scientist

Seldon · London · posted 2026-10-27
<p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Type:</strong> Full Time, Hybrid</p><p style="min-height:1.5em"><strong>Team:</strong> Research</p><p style="min-height:1.5em"><strong>Focus:</strong> Applied Research<br /></p><p style="min-height:1.5em"></p><h2>Who We Are</h2><p style="min-height:1.5em">We're a team of founders, engineers, researchers, creatives, and operators building what we believe will be one of the defining companies of the AI era.</p><p style="min-height:1.5em">Some of us came from startups. Some from academia. Some from hospitality, defense, design, or completely different worlds. We don’t care how you got here - we care about your energy, intelligence, curiosity, resilience, and ambition.<br /></p><p style="min-height:1.5em"></p><h3><strong>Who We Are Not</strong></h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><em><strong>We are not remote.</strong></em> We value the spontaneous moments that happen when we’re together - over dinner, in the hallway, around whiteboards. We like being around each other because the best conversations here rarely happen in meetings.</p></li><li><p style="min-height:1.5em"><em><strong>We are not your typical team.</strong></em> It’s not just the 10 countries we’re from, the languages we speak or our non-traditional backgrounds. We’re solving hard problems with people we respect - we make the most of our time together, we make it special.</p></li><li><p style="min-height:1.5em"><em><strong>We are not another “polished” SF startup</strong></em><strong>.</strong> We value velocity over speed, raw talent over brands, and genuine human connection above all else. We value being successful, not looking successful.<br /></p></li></ul><p style="min-height:1.5em"></p><h2><strong>What You’ll Own &amp; Build</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Model human differences</strong>. Turn motivation, goals, personality, identity, experience and technical fluency into psychologically grounded, computationally useful models that guide agents and generalise across users.</p></li><li><p style="min-height:1.5em"><strong>Infer users’ internal states.</strong> Use clickstreams, navigation paths and dwell time to model intent, confusion, patience, confidence and engagement, linking these states to each agent’s persona.</p></li><li><p style="min-height:1.5em"><strong>Shape behaviour in live interfaces.</strong> Model how traits, goals, experience and changing states such as frustration or uncertainty influence agents’ attention, choices and actions during computer use.</p></li><li><p style="min-height:1.5em"><strong>Measure human fidelity.</strong> Compare agent behaviour with human data, build benchmarks and quantify uncertainty to identify where simulations succeed or fail across user types.</p></li><li><p style="min-height:1.5em"><strong>Understand how users interpret interfaces.</strong> Study attention, expectations and mental models: what users notice first, what they overlook, and where interfaces conflict with their expectations.</p></li><li><p style="min-height:1.5em"><strong>Experiment with synthetic populations.</strong>

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