Product ML Engineer at Photoroom
At a glance
- Company
- Photoroom
- Location
- Paris, France
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
Apply for this role at Photoroom
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.
Key skills
- Machine Learning — in 268 other listings on The Stack
- PyTorch — in 80 other listings on The Stack
- TensorFlow — in 48 other listings on The Stack
- JAX — in 4 other listings on The Stack
- Computer Vision — in 28 other listings on The Stack
- Diffusion Models — in 3 other listings on The Stack
- Model Fine-Tuning — in 5 other listings on The Stack
- Model Evaluation — in 15 other listings on The Stack
- Production Machine Learning
- Production Engineering
- Generative Image Models
- Third-Party AI APIs
- Problem Framing
- Performance Monitoring
- Rapid Iteration
- Product Development
On The Stack (as of 2026-10-29)
Frequently asked questions about Photoroom
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.