1import{a as t,j as e}from"./motion-CMvrp_gs.js";import{S as i,a as n}from"./SitePage-B-wvclqm.js";import{J as s}from"./index-DkaRDxJ3.js";import"./tokens-D9d0xwpt.js";const r="/careers/PXLD-Research-Scientist.pdf",a="mailto:[email protected]?subject=Research%20Scientist%20application",o={"@context":"https://schema.org","@type":"BreadcrumbList",itemListElement:[{"@type":"ListItem",position:1,name:"Home",item:"https://pxld.ai/"},{"@type":"ListItem",position:2,name:"Careers",item:"https://pxld.ai/us"}]},l={"@context":"https://schema.org","@type":"JobPosting",title:"Research Scientist",description:"Research world models for visual effects, neural representations, generative video models, neural rendering and human performance capture. Two full-time positions with competitive salary and equity.",datePosted:"2026-08-25",employmentType:"FULL_TIME",hiringOrganization:{"@type":"Organization",name:"PXLD Labs Ltd",sameAs:"https://pxld.ai",logo:"https://pxld.ai/icons/pxld_logo.svg"},jobLocation:{"@type":"Place",address:{"@type":"PostalAddress",addressLocality:"York",addressCountry:"GB"}},jobLocationType:"TELECOMMUTE"};function m(){return t.useEffect(()=>{window.location.hash==="#careers"&&requestAnimationFrame(()=>document.getElementById("careers")?.scrollIntoView())},[]),e.jsxs(i,{className:"careers-page",children:[e.jsx(n,{title:"Research Scientist Careers at PXLD",description:"Join PXLD to build world models for visual effects, neural representations, generative video models and human performance capture.",canonical:"https://pxld.ai/us"}),e.jsx(s,{data:o}),e.jsx(s,{data:l}),e.jsxs("main",{id:"careers",className:"careers",children:[e.jsxs("div",{className:"careers-hero",children:[e.jsxs("h1",{className:"site-heading",children:["Research"," ",e.jsx("br",{}),"Scientist"]}),e.jsx("p",{className:"careers-hero__lead",children:"Build world models for visual effects, preserving real actor performances while placing them inside shared worlds they can see, shape and fully interact with."}),e.jsxs("div",{className:"careers-actions",children:[e.jsx("a",{className:"site-button site-button--primary",href:a,children:"Apply by email"}),e.jsx("a",{className:"site-button site-button--outline",href:r,target:"_blank",rel:"noreferrer",children:"View job description"})]})]}),e.jsxs("section",{className:"careers-role","aria-labelledby":"role-summary-heading",children:[e.jsxs("dl",{className:"careers-facts",children:[e.jsxs("div",{children:[e.jsx("dt",{children:"Openings"}),e.jsx("dd",{children:"2"})]}),e.jsxs("div",{children:[e.jsx("dt",{children:"Location"}),e.jsx("dd",{children:"Remote or York"})]}),e.jsxs("div",{children:[e.jsx("dt",{children:"Type"}),e.jsx("dd",{children:"Full-time"})]}),e.jsxs("div",{children:[e.jsx("dt",{children:"Package"}),e.jsx("dd",{children:"Competitive salary + equity"})]})]}),e.jsxs("h2",{id:"role-summary-heading",className:"site-heading","aria-label":"Capture actor performances. Build the worlds they can inhabit.",children:[e.jsx("span",{children:"Capture actor performances."}),e.jsx("span",{children:"Build the worlds they can inhabit."})]}),e.jsxs("div",{className:"careers-role__details",children:[e.jsx("p",{className:"site-body",children:"You will research neural representations, generative video models, 3D vision, neural rendering and performance capture, then turn the strongest ideas into tools for real visual effects workflows."}),e.jsx("p",{className:"site-body",children:"We are looking for rigorous, independent researchers who want a direct path from experiment to product. A PhD or equivalent research experience and strong Python/PyTorch skills are expected."})]}),e.jsxs("div",{className:"careers-actions",children:[e.jsx("a",{className:"site-button site-button--primary",href:a,children:"Apply by email"}),e.jsx("a",{className:"site-button site-button--outline",href:r,target:"_blank",rel:"noreferrer",children:"Full details (PDF)"})]})]}),e.jsx("figure",{className:"careers-film",children:e.jsx("video",{src:"/demos/public-site-2026/world-ninja-after.mp4",poster:"/demos/public-site-2026/world-ninja-after.jpg","aria-label":"Martial arts performance placed into a cinematic world by PXLD",autoPlay:!0,muted:!0,loop:!0,playsInl
1ine:!0})})]})]})}export{m as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.