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 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 scratch
* Team leadership – scaling our exceptional team while maintaining culture and excellence
* Technical excellence – code review, performance optimisation and troubleshooting complex training issues
* Breakthrough innovation – driving next‑generation capabilities that redefine industry standards
* Research excellence – balancing cutting‑edge research with rapid product impact
* Cross‑functional partnership – serving as the primary bridge between ML and Product/Sales/Engineering teams
* Talent attraction – building the industry’s most compelling CV team
Key opportunities to drive impact:
* Advanced research‑to‑production pipeline for faster innovation cycles
* Establish visionary technical direction for our ambitious growth phase
* Create space for calculated risk‑taking alongside rapid shipping excellence
* Build 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 experience
* Deep Computer Vision + Diffusion/GenAI expertise with hands‑on large model training
* Foundational model training experience – billion+ parameter models end‑to‑end
* Team scaling experience – 8+ people, proven hiring and mentorship track record
* Cross‑functional collaboration – can work closely with Product, Sales and Engineering teams
* Technical depth for mentorship – spot code issues, debug training failures, analyse performance bottlenecks and guide ICs through complex technical challenges
Leadership style
* Empowering, non‑micromanaging – sets context, not tasks
* Decisive on technical strategy – comfortable making big bets and owning outcomes
* Innovation‑focused – encourages bold experiments while learning from failures
* Technically credible – maintains respect through hands‑on expertise, code review proficiency and opinionated technical guidance
* Results‑driven – avoids unnecessary process, ensures clear accountability
What Success Looks Like
* Clear ML roadmap with research/application balance and cross‑functional visibility
* Foundational model training launched and progressing with measurable milestones
* Accelerated innovation velocity with more research projects reaching production, production features driving business metrics
* Enhanced team engagement around vision and technical challenges
* World‑class hiring outcomes, attracting and retaining top technical talent
* Scaled team excellence, maintaining velocity and quality through rapid growth
About 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 Process
* Screening call with Recruiter
* Initial conversation, then a deep dive with our CTO
* Home technical assignment + team review
* Culture fit interviews + meet the team
* Reference check & Offer
Diversity, 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.
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