--- title: 'Product ML Engineer at Photoroom' canonical: 'https://feeny.ai/job/product-ml-engineer-photoroom-paris-cthbrqdz949s' type: 'job' last_seen: '2026-09-08' --- # Product ML Engineer at Photoroom - **Company:** Photoroom - **Location:** Paris, France - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-15 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/photoroom/1073f2ae-906a-42ae-bb5f-96981a2555cf ## Job description ## ABOUT US Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom https://www.photoroom.com 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. ## ROLE SUMMARY We're looking for a Product ML Engineer to join one of our product experience teams — SMB, Scaler or Enterprise — and own the ML side of short, high-impact projects. You'll work on focused ML problems with a clear product outcome, sometimes fine-tuning one of our models, sometimes integrating the best externally available model, but always choosing the fastest and most effective path to customer value. You'll bring the technical depth of an Applied Scientist while operating with the pace and pragmatism of a product engineer. You'll own the journey from framing the problem through to shipping, measuring and iterating on the feature in production. This is not a research role. Your time horizon is weeks rather than quarters, and success is measured by what reaches users and the impact it creates. ## ABOUT THE ROLE - Embed directly within a product team. Work closely with the SMB, Scaler or Enterprise team on focused ML problems tied to clear customer and business outcomes. - Own ML projects end to end. Frame the problem, choose the approach, execute the plan, ship the feature and monitor its performance in production. - Make the build vs. buy decision. Determine when to fine-tune or build a model yourself versus integrating an external model, API or existing library. - Move from idea to production quickly. Work on projects scoped in weeks rather than quarters, prioritising rapid iteration and customer impact. - Work closely with the ML team. Leverage shared infrastructure, evaluation tooling and expertise while remaining embedded in the product team's priorities and cadence. - Stay close to users. Get rapid feedback from customers, monitor how people use what you've shipped and use those insights to drive the next iteration. - Balance technical depth with pragmatism. Know when deeper modelling work is necessary and when an existing solution is already good enough to ship. - Write production code. Work directly in the product team's codebase rather than operating primarily through research notebooks and experiments. - Own quality in production. Build sound evaluations, monitor performance and investigate failures once the feature is live. ## ABOUT YOU - You've shipped ML into production. You have 2+ years of hands-on experience building and shipping ML-powered products, with strong experience in PyTorch or equivalent frameworks such as TensorFlow or JAX. - You have applied-science depth. You can fine-tune vision or diffusion models, design meaningful evaluations and debug training runs when necessary. - You're a pragmatic builder. You care about solving the customer's problem rather than proving that your own model is the best approach. You'll happily use an external model, API or existing library when that's the fastest route to value. - You're product-minded. You measure success through shipped features, user behaviour and business outcomes rather than papers or benchmarks alone. - You're comfortable in production codebases. You can move between experimentation and production engineering, writing maintainable code that lives inside a real product. - You have strong ownership. You're comfortable taking an ambiguous ML problem, deciding what matters, choosing an approach and driving it through to production. - You iterate quickly. You enjoy short feedback loops and would rather ship something useful, learn from users and improve it than spend months optimising something that hasn't reached production. - You're curious and collaborative. You can both explain your expertise and learn from the deep technical expertise around you. You value knowledge sharing and humility. - You're fluent in English. French isn't required. Nice to have: experience shipping generative image models or diffusion models into production; experience evaluating third-party AI APIs against internal alternatives; experience working in a fast-growing startup or directly within a product team. ## BENEFITS - Competitive salary + meaningful equity - Hybrid working from our Paris headquarters - Visa sponsorship and relocation support up to €10,000 - MacBook Pro and full home office setup - 30 days annual leave - Private healthcare - Regular company off-sites and team retreats - International English-speaking team - Language lessons in English and French ## HIRING PROCESS 1. Screening with an ML Researcher / Engineer 2. Home technical assignment and review with the team 3. Culture fit interview and meet the team 4. Reference check and offer Support: We value diversity and aim to create an inclusive experience for all applicants. Please let us know if there's anything we can do to make the process more accessible for you. 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. ## About Photoroom ## Company Overview - **One-liner**: Photoroom is an AI-powered visual production platform that enables e‑commerce businesses to create professional product images at scale. - **Entity Type**: Private (Series B, $63.3M total funding) - **Headquarters**: New York, United States (with a major office in Paris, France) - **Founded**: 2019 - **Founders**: Matt (surname not publicly available) and Eliot Andres ## Core Business - **Primary industry**: AI photo editing and visual production for e‑commerce - **Target customers**: B2B (SMB to enterprise) and B2C (mobile app users) - **Mission / Purpose**: “Enable entrepreneurs and small businesses to compose images that stand out” (photoroom.com/company) and “Sell at first sight” (photoroom.com) ## Products & Services - **Mobile App**: AI-powered photo editor with background removal, text, and effects – used daily by millions; featured by Apple and Google. - **Image API**: REST API for integrating AI editing (background removal, batch processing) into existing workflows; supports custom endpoints and Brand Kit rules. - **Batch Edit**: Run AI edits across thousands of images in one pass via API or web app; includes automated QA and brand-rule enforcement. - **Marketplace Sync**: Publish on-brand images directly to Shopify and other marketplace feeds. - **Brand Kit**: Centralized rules for backgrounds, padding, colors, logos, and formats – applied automatically with role‑based access. - **Custom AI Models**: Enterprise‑only models trained on a customer’s own catalog for product fidelity. - **Enterprise Plan**: Custom models, dedicated capacity, SLA‑backed uptime, SOC 2 Type 2 compliance, and GDPR adherence. ## Market Standing - **Valuation**: $500 million (Forbes, as of early 2024) - **Key Metric**: $11 million annual revenue (LinkedIn estimate); $63.3 million total funding - **Notable Investors/Partners**: Y Combinator, Balderton Capital, Aglaé Ventures, Adjacent, Nico Wittenborn, and Yann LeCun (advisor) - **Growth Signals**: - 1 million+ businesses using the platform - 7 billion images processed per year - Profitable – one of the few profitable generative AI startups (TechCrunch) - Headcount of 159 employees, up 30.5% YoY - Acquired GenerateBanners in May 2025 - #1 mobile app in 40+ countries ## Competitive Advantages - **E‑commerce‑specific AI**: Models built to hold product details accurately, reducing mismatches between listing and delivery. - **Brand consistency at scale**: Brand Kit enforces rules automatically across all channels, eliminating manual QA. - **No vendor lock‑in**: REST API allows customers to swap models without rewriting workflows. - **Enterprise‑grade trust**: SOC 2 Type 2 certified, GDPR compliant, and backed by an Enterprise Guarantee (pay only for passing outputs). - **Custom AI models**: Trained on a customer’s own catalog for superior fidelity. ## Strategic Focus - **Enterprise expansion**: Growing the B2B Enterprise segment with custom models, dedicated capacity, and SLA‑backed uptime. - **Automation at scale**: Deepening batch editing, marketplace sync, and API integrations to handle millions of SKUs. - **AI model leadership**: Continuously improving proprietary models while offering flexibility to adopt new ones. ## Why Work Here - **Culture**: “Small team, BIG impact” – emphasis on quality over quantity in hiring, “ship fast to learn,” “build it, own it,” and “stay open.” - **Work environment**: Remote options available for many roles (Paris or remote in France); offices in Paris and New York. - **Values**: Candid feedback, transparency, and personal growth. - **Tech stack**: FastAPI, Async Python, Rust, modern cloud infrastructure (GCP, AWS, Cloudflare). - **Perks**: Profitable and fast‑growing company, opportunities to work on cutting‑edge AI, and a product used by millions. - **Open roles**: Senior engineers (SRE, backend, Rust), product managers, designers, marketing, and legal – 55 active job postings (as of mid‑2025). ## Sources 1. [photoroom.com/about](https://www.photoroom.com/about) 2. [photoroom.com/company](https://www.photoroom.com/company) 3. [photoroom.com](https://www.photoroom.com/) 4. [linkedin.com/company/photoroom](https://www.linkedin.com/company/photoroom) 5. [jobs.ashbyhq.com/photoroom](https://jobs.ashbyhq.com/photoroom) ## Other roles at Photoroom - [Senior Recruiter (Contractor)](https://feeny.ai/job/senior-recruiter-contractor-photoroom-paris-gdjqv4zrf3dn) — Paris, France - [Senior Talent Acquisition Partner (Contractor)](https://feeny.ai/job/senior-talent-acquisition-partner-contractor-photoroom-paris-vgscx321see9) — Paris, France - [Account Executive](https://feeny.ai/job/account-executive-photoroom-new-york-jy7rdqs0ef5v) — New York, NY - [Product Manager, Editing Foundations](https://feeny.ai/job/product-manager-editing-foundations-photoroom-paris-ak8c0yy1ns1f) — Paris, France - [Staff Product Manager, Agentic & AI Platform](https://feeny.ai/job/staff-product-manager-agentic-ai-platform-photoroom-paris-qntjbfaypt49) — Paris, France - [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-photoroom-paris-ak5fpva88ecm) — Paris, France - [Legal Intern](https://feeny.ai/job/legal-intern-photoroom-paris-9g1gzapvrxr9) — Paris, France - [Senior Product Analyst](https://feeny.ai/job/senior-product-analyst-photoroom-paris-2sz6s57yzcyv) — Paris, France - [Senior Product Manager, Core Product](https://feeny.ai/job/senior-product-manager-core-product-photoroom-paris-52hthj1z88wf) — Paris, France - [Senior Product Manager, SMB e-commerce Growth](https://feeny.ai/job/senior-product-manager-smb-e-commerce-growth-photoroom-paris-qvnyfe6emrjg) — Paris, France