Head of Computer Vision

Overview

About Us Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce. We are a remote-friendly team focused on craft, innovation, and collaboration, delivering impact for e-commerce businesses worldwide. We serve small businesses and major enterprises through our mobile app, web platform, and API.

TL;DR: We’re looking for a Head of Computer Vision to lead our ML team through an ambitious growth phase and push the boundaries of AI photo editing.

Team size: ~10 ML Engineers & Researchers (scaling rapidly). Reports to: Chief Technology Officer.

Responsibilities

• Own long-term ML strategy, including training foundational models from scratch
• Lead and scale the ML team while maintaining culture and excellence
• Maintain technical excellence through code review, performance optimisation, and troubleshooting complex training issues
• Drive breakthrough innovation to redefine industry standards
• Balance research excellence with rapid product impact
• Serve as the primary bridge between ML and Product/Sales/Engineering teams
• Lead talent attraction and build a high-caliber team

Key opportunities to drive impact

• Establish advanced research-to-production pipelines for faster innovation
• Define visionary technical direction for the company’s growth
• Create space for calculated risk-taking alongside rapid shipping
• Build comprehensive evaluation frameworks that set new industry standards

Qualifications

• 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 with billion+ parameter models end-to-end
• Team scaling experience (8+ people) with proven hiring and mentorship track record
• Cross-functional collaboration with Product, Sales, and Engineering teams
• Technical depth for mentorship: diagnosing code issues, debugging training failures, analyzing performance bottlenecks

Leadership style

• Empowering, non-micromanaging — sets context, not tasks
• Decisive on technical strategy with accountability for outcomes
• Innovation-focused — encourages bold experiments while learning from failures
• Technically credible — hands-on expertise, code review proficiency, informed guidance
• Results-driven — focuses on outcomes with clear accountability

What success looks like

• Clear ML roadmap with research and application balance and cross-functional visibility
• Foundational model training launched with measurable milestones
• Acceleration of research-to-production, with production features driving business metrics
• Strong team engagement around vision and technical challenges
• World-class hiring outcomes and retention of top technical talent
• Scaled team excellence with sustained velocity and quality

About The Team

We’re a curious, ambitious group with deep ML expertise, including experience training billion-parameter models and shipping at scale.

EEO and Hiring Information

We are committed to enabling everyone to feel included and valued at work. 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.

We offer flexible working hours and remote work arrangements where applicable, with additional benefits described in the role details.