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For Companies At a Glance
- Tasks: Lead a world-class ML team and drive breakthrough AI photo editing innovations.
- Company: Photoroom, a profitable AI photo editor with over 300 million downloads.
- Benefits: Remote-friendly work, flexible hours, and extended parental leave.
- Why this job: Shape the future of AI in photo editing and make a real impact.
- Qualifications: 5+ years leading ML teams, deep expertise in Computer Vision, and foundational model training.
- Other info: Join a curious, ambitious team focused on innovation and collaboration.
The predicted salary is between 72000 - 108000 ÂŁ per year.
About Us
Photoroom, founded in 2020 and accepted into Y Combinator, is the world’s most popular AI photo editor today. With over 300 million downloads and processing more than 5 billion images annually, we serve both individual creators and major enterprises such as Amazon, DoorDash, and Decathlon via our B2C app and B2B API solutions. We are a profitable, remote‑friendly company that has raised Series B funding and is targeting a 40% year‑over‑year growth with a team of 100+ passionate builders focused on craft, innovation and collaboration.
TL;DR
We’re looking for a Head of Computer Vision to lead our world‑class ML team. You’ll set long‑term technical vision, make bold strategic bets and push the boundaries of AI photo editing to unlock breakthrough capabilities.
About The Role
Reports to: Chief Technology Officer
You’ll Own
- Long‑term ML strategy, including training foundational models from scratch
- Team leadership – scaling an 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 – diagnose code issues, debug training failures, analyse performance bottlenecks and guide ICs through complex 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 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 – 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. Team strengths include 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 provide technical mentorship from experienced leaders.
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. 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.
Head of Computer Vision employer: PhotoRoom
Contact Detail:
PhotoRoom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Computer Vision
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Photoroom or similar companies. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in computer vision and AI. When you get the chance to chat with the team, having something tangible to discuss can really make you stand out.
✨Tip Number 3
Be ready for technical challenges! Brush up on your coding skills and be prepared to tackle some real-world problems during the interview process. This is your chance to shine and show how you can lead the ML team at Photoroom.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team and contributing to our exciting growth phase.
We think you need these skills to ace Head of Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Head of Computer Vision role. Highlight your leadership in ML/AI teams and any relevant projects that showcase your expertise in computer vision and foundational model training.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI photo editing and how your vision aligns with our goals at Photoroom. Share specific examples of your past successes and how they can translate into breakthrough innovations for our team.
Showcase Your Technical Depth: In your application, don’t shy away from discussing your hands-on experience with large model training and troubleshooting complex issues. We want to see your technical prowess and how you’ve mentored others through challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all candidates efficiently. Plus, it’s the best way to show your enthusiasm for joining our team!
How to prepare for a job interview at PhotoRoom
✨Know Your Stuff
Make sure you brush up on your deep Computer Vision and GenAI expertise. Be ready to discuss your hands-on experience with large model training and foundational models. Prepare examples of how you've tackled complex training issues in the past.
✨Showcase Your Leadership Style
Since this role is all about leading a team, think about how you empower others without micromanaging. Be prepared to share specific instances where you've set context for your team and made decisive technical strategies that led to successful outcomes.
✨Cross-Functional Collaboration
Photoroom values collaboration across teams, so come equipped with examples of how you've worked closely with Product, Sales, and Engineering teams. Highlight any successful projects that required strong cross-functional partnerships.
✨Prepare for Technical Challenges
Expect to dive into technical discussions during your interview. Brush up on your code review skills and be ready to diagnose potential code issues or performance bottlenecks. This will show your technical depth and ability to mentor others effectively.