# Product ML Engineer at Photoroom

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Embed in a product team (SMB/Scaler/Ente

- **Company:** Photoroom (https://jobs.trythestack.co/companies/photoroom)
- **Location:** Paris, France
- **Work arrangement:** Hybrid
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, PyTorch, TensorFlow, JAX, Computer Vision, Diffusion Models, Generative AI, Product Engineering, API Integration, Production Deployment, Model Fine-tuning, Software Development, Data Analysis, Problem Solving, Collaboration
- **Posted by employer:** 2026-08-15
- **Added to The Stack:** 2026-08-15
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/photoroom/1073f2ae-906a-42ae-bb5f-96981a2555cf (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/product-ml-engineer-photoroom

## About the role

Responsibilities:
- Embed in a product team (SMB/Scaler/Enterprise) and own ML work for short, high-impact projects.
- Define problems, select the fastest path to value (fine-tune, build, or integrate), and ship end-to-end in weeks.
- Write production-quality code in the product repo, integrate models with APIs/SDKs, and deploy features.
- Build evaluations, monitor production performance, investigate failures, and iterate based on metrics.
- Collaborate closely with ML engineers, researchers, designers, and product to surface customer feedback and drive improvements.

Requirements:
- 2+ years building and shipping ML-powered products to production.
- Strong hands-on experience with PyTorch, TensorFlow, or JAX and familiarity with computer vision/generative models (including diffusion models).
- Practical experience deploying models, integrating external model APIs, and managing inference cost/latency trade-offs.
- Solid software engineering skills: testing, CI/CD, monitoring, and working inside product codebases (Python/REST tooling expected).
- Product-minded: rapid iteration, strong ownership, ability to measure impact and use user feedback to prioritize work.

## Responsibilities

Embed within a product team to own the end-to-end development and deployment of machine learning features. Balance technical depth with pragmatism to deliver high-impact solutions that solve customer problems quickly.

## Requirements

Requires 2+ years of hands-on experience shipping machine learning products into production using frameworks like PyTorch, TensorFlow, or JAX. Candidates must demonstrate strong ownership, product-mindedness, and the ability to work effectively within a fast-paced startup environment.

## FAQ

- **Is this Product ML Engineer role still open?** It was posted on 2026-08-15. Listings more than 30 days old may no longer be active, so check Photoroom's site before applying.
- **Does Photoroom offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Photoroom's site.
- **Where is this role located?** The listing gives the location as Paris, France. It is marked hybrid.
- **What skills does this role ask for?** The listing names: Machine Learning, PyTorch, TensorFlow, JAX, Computer Vision, Diffusion Models, Generative AI, Product Engineering, API Integration, Production Deployment, Model Fine-tuning, Software Development, Data Analysis, Problem Solving, Collaboration.

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/photoroom/1073f2ae-906a-42ae-bb5f-96981a2555cf). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "product-ml-engineer-photoroom": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Product ML Engineer at Photoroom, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/product-ml-engineer-photoroom)".
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