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Head of Computer Vision
About Us
Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce.
We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.
We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.
Head of Computer Vision
Compensation: Competitive salary + Stock-Options/BSPCE
Team size: ~10 ML Engineers & Researchers (scaling rapidly)
Reports to: Chief Technology Officer
Location: Remote with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK
About The Role
You will own our long-term ML strategy, including training foundational models from scratch, and serve as the primary bridge between ML and Product, Sales, and Engineering teams. You will lead and scale our exceptional ML team, maintaining culture and excellence while building the industry's most compelling Computer Vision team. You will drive technical excellence through code review, performance optimisation, and troubleshooting complex training issues, while mentoring ICs through complex technical challenges. You will drive breakthrough innovation — advancing next-generation capabilities that redefine industry standards and balancing cutting-edge research with rapid product impact. You will establish visionary technical direction for our ambitious growth phase, building comprehensive evaluation frameworks and creating space for calculated risk-taking alongside rapid shipping excellence.
About The Team
We're a curious, ambitious group with deep ML expertise — people who've trained billion-parameter models, built real-time CV infrastructure, and shipped to millions of users.
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Our strengths are lightning-fast iteration, state-of-the-art models, strong collaboration, and proven user impact at massive scale. We're ready for visionary leadership to guide our next breakthrough phase, ambitious foundational model initiatives, enhanced research-to-production processes, and technical mentorship from experienced leadership.
The opportunity: lead breakthrough AI capabilities that will process billions more images and define the future of AI photo editing.
About You
You have 5+ years leading ML/AI teams at product companies, with strategic decision-making experience and a proven hiring and mentorship track record with teams of 8+ people. You have deep Computer Vision and Diffusion/GenAI expertise, with hands-on experience training large foundational models (billion+ parameters, end-to-end). You are technically credible enough to spot code issues, debug training failures, analyse performance bottlenecks, and provide opinionated technical guidance to ICs. You are an empowering, decisive leader — you set context not tasks, make big bets, own outcomes, and encourage bold experiments while learning from failures. You can work closely and cross-functionally with Product, Sales, and Engineering teams, avoiding unnecessary process and ensuring clear accountability. Nice to have: Experience establishing research-to-production pipelines and building evaluation frameworks that set new industry standards.
If you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.
What Success Looks Like
A clear ML roadmap with research/application balance and cross-functional visibility Foundational model training launched and progressing with measurable milestones Accelerated innovation velocity — more research projects reaching production, with 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
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Benefits
Work flexibly from Germany, UK, Italy, France, Ireland, Portugal, or Spain, with monthly Paris office visits (fully reimbursed) Regular team gatherings, including in-person onboarding in Paris (1–2 weeks), yearly company offsite and team retreat, quarterly in-person meetings, and social events 30 days annual leave plus local public holidays Competitive equity package with stock options/BSPCE, giving you ownership in our growing company €1,000 one-time home office grant OR €400/month co-working space stipend (remote outside Paris) €1,000 annual learning and development budget for training, courses, books, and skill development Private health insurance Relocation support (up to €10,000) for those choosing to move to France, including apartment finding and visa assistance Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare Sports and cultural activities reimbursement
Note: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.
Hiring Process
Screening call with Recruiter (30 min) Initial conversation, then a deep dive with our CTO Take-home technical assignment and live review with the team (45 min) Culture fit interviews and meet the team (~3h in total) Reference check and 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 also why we have flexible working hours, trust people to work remotely, and extended parental leave.
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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