Head of Computer Vision
PhotoroomRemoteUp to €10kPosted 24 February 2026
Job Description
About usPhotoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes.With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions.We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide.TL;DR🤓 We're looking for a Head of Computer Vision to lead our world-class ML team through an ambitious growth phase. You'll drive our long-term technical vision, make bold strategic bets, and push the boundaries of what's possible in AI photo editing to achieve breakthrough capabilities.Team size: ~10 ML Engineers & Researchers (scaling rapidly)Reports to: Chief Technology Officer💰 Competitive salary + stock options🇪🇺 Remote-friendly within a 3-hour flight from Paris (monthly visits)✈️ Relocation support up to €10k + visa sponsorship for France-based positions💻 Full tech setup + biannual company retreats✨ About the role ✨You'll own:Long-term ML strategy, including training foundational models from scratchTeam leadership - scaling our exceptional team while maintaining culture and excellenceTechnical excellence - code review, performance optimisation, and troubleshooting complex training issuesBreakthrough innovation - driving next-generation capabilities that redefine industry standardsResearch excellence - balancing cutting-edge research with rapid product impactCross-functional partnership - serving as the primary bridge between ML and Product/Sales/Engineering teamsTalent attraction - building the industry's most compelling CV teamKey opportunities to drive impact:Advanced research-to-production pipeline for faster innovation cyclesEstablish visionary technical direction for our ambitious growth phaseCreate space for calculated risk-taking alongside rapid shipping excellenceBuild comprehensive evaluation frameworks that set new industry standards✨ About you ✨Must-haves:5+ years leading ML/AI teams at product companies with strategic decision-making experienceDeep Computer Vision + Diffusion/GenAI expertise with hands-on large model trainingFoundational model training experience - billion+ parameter models end-to-endTeam scaling experience - 8+ people, proven hiring and mentorship track recordCross-functional collaboration - can work closely with Product, Sales, and Engineering teamsTechnical depth for mentorship - spot code issues, debug training failures, analyse performance bottlenecks, and guide ICs through complex technical challengesLeadership style:Empowering, non-micromanaging - sets context, not tasksDecisive on technical strategy - comfortable making big bets and owning outcomesInnovation-focused - encourages bold experiments while learning from failuresTechnically credible - maintains respect through hands-on expertise, code review proficiency, and opinionated technical guidanceResults-driven - avoids unnecessary process, ensures clear accountability✨ What Success Looks Like ✨Clear ML roadmap with research/application balance and cross-functional visibilityFoundational model training launched and progressing with measurable milestonesAccelerated innovation velocity with more research projects reaching production, production features driving business metricsEnhanced team engagement around vision and technical challengesWorld-class hiring outcomes, attracting and retaining top technical talentScaled team excellence, maintaining velocity and quality through rapid growth✨About the Team✨We're a curious, ambitious group with deep ML expertise - folks who've trained billion-parameter models ... (truncated, view full listing at source)
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