Head of Machine Learning

About Us Photoroom 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 to 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 aHead of Computer Visionto lead our world‑class ML team through an ambitious growth phase. You’ll drive our long‑term technical vision,make bold strategic betsand 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 OfficerCompetitive 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 retreatsAbout 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 standardsAbout 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 styleEmpowering, 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 accountabilityWhat Success Looks LikeClear 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 growthAbout The Team We’re a curious, ambitious group with deep ML expertise – folks who have trained billion‑parameter models, built real‑time CV infrastructure, and shipped to millions of users.Team strengths: lightning‑fast iteration, state‑of‑the‑art models, strong collaboration, proven user impact at massive scale.Hiring ProcessScreening call with RecruiterInitial conversation, then a deep dive with our CTOHome technical assignment + team reviewCulture fit interviews + meet the teamReference check & OfferDiversity, Equity, Inclusion, and Belonging We’re committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That’s why we have flexible working hours, trust people to work remotely, and extended parental leave.EEO Statement All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation or any other characteristic protected by applicable laws.#J-18808-Ljbffr