Product ML Engineer at Photoroom
May no longer be active — verify on the employer site
Photoroom posted this role again on 2026-10-26; this is an older listing. See the newer listing
At a glance
- Company
- Photoroom
- Location
- Paris, France
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Photoroom job
- 🏢 Photoroom has 13 jobs here, 13 with visa sponsorship see all
- 🛂 Visa: Talent passport. EU Blue Card salary: €59,373 a year (1.5 times the average salary) guide
- 💡 No salary shown. Ask Photoroom if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Machine Learning — in 291 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- JAX — in 5 other listings on The Stack
- Computer Vision — in 30 other listings on The Stack
- Diffusion Models — in 4 other listings on The Stack
- Generative AI — in 58 other listings on The Stack
- Product Engineering — in 18 other listings on The Stack
- API Integration
- Production Deployment
- Model Fine-tuning
- Software Development
- Data Analysis
- Problem Solving
- Collaboration
On The Stack (as of 2026-11-05)
Frequently asked questions about Photoroom
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.