# 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 and own ML works

- **Company:** Photoroom (https://jobs.trythestack.co/companies/photoroom)
- **Location:** Paris, France
- **Work arrangement:** On-site
- **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, Model Fine-Tuning, Model Evaluation, Production Machine Learning, Production Engineering, Generative Image Models, Third-Party AI APIs, Problem Framing, Performance Monitoring, Rapid Iteration, Product Development
- **Posted by employer:** 2026-10-26
- **Added to The Stack:** 2026-10-27
- **Listed until:** 2026-12-25
- **Status:** Active
- **Apply:** https://jobs.ashbyhq.com/photoroom/41ba8841-a50e-49a2-947a-15dff61bbd55 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/product-ml-engineer-photoroom-517b52e8

## About the role

Responsibilities:
- Embed in a product team and own ML workstreams from problem framing to production deployment.
- Choose build vs. buy: fine-tune internal models or integrate external models/APIs to maximise customer value quickly.
- Implement model training, evaluation and CI/CD for deployments; write production-quality code in the product codebase.
- Design evaluation metrics, monitor model performance in production and investigate failures or regressions.
- Deliver features scoped in weeks: iterate rapidly using user feedback and telemetry to prioritise improvements.
- Collaborate with ML infrastructure and product teams to reuse shared tooling and maintain observability.

Requirements:
- 2+ years shipping ML-powered features to production; strong practical experience with PyTorch, TensorFlow or JAX.
- Experience fine-tuning vision or diffusion models and designing robust evaluations for model quality.
- Production engineering skills: writing maintainable code, setting up monitoring, and running training pipelines.
- Product focus: quick decision making, pragmatic trade-offs and strong customer-oriented problem framing.
- Good collaboration and communication skills; able to work across product, design and ML teams.
- Bonus: experience with generative image models, third-party AI APIs and large-scale inference/serving.

## Responsibilities

Own focused machine learning projects end to end, from framing customer problems and selecting build-versus-buy approaches to shipping features in production. Evaluate and monitor performance, investigate failures, gather user feedback, and iterate quickly in collaboration with product and ML teams.

## Requirements

Requires at least two years of hands-on experience building and shipping machine-learning products, with strong experience in PyTorch or an equivalent framework such as TensorFlow or JAX. Candidates should be able to fine-tune vision or diffusion models, design evaluations, write maintainable production code, and pragmatically own ambiguous projects through launch and iteration.

## FAQ

- **Is this Product ML Engineer role still open?** It was posted on 2026-10-26 and is listed as active on The Stack. Confirm on Photoroom's application page 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 on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, PyTorch, TensorFlow, JAX, Computer Vision, Diffusion Models, Model Fine-Tuning, Model Evaluation, Production Machine Learning, Production Engineering, Generative Image Models, Third-Party AI APIs, Problem Framing, Performance Monitoring, Rapid Iteration, Product Development.

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/photoroom/41ba8841-a50e-49a2-947a-15dff61bbd55). The Stack does not take applications.
- 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-517b52e8)".
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