Product ML Engineer
AI-powered visual-production platform for e-commerce, offering product-image generation, editing, batch workflows, web/mobile apps, and an API.
Funding history
About Photoroom
Photoroom is a Paris-based company that uses AI for e-commerce product photography, including image generation, background removal, visual editing, and high-volume automation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will embed in a product team and own focused machine-learning projects from problem framing through production. You will choose whether to fine-tune, build, or integrate models, write production code, evaluate quality, monitor live performance, investigate failures, and use customer feedback to improve features quickly.
Requirements
- 2+ years of hands-on experience building and shipping ML-powered products
- Experience with PyTorch, TensorFlow, JAX, or an equivalent framework
- Ability to fine-tune vision or diffusion models
- Ability to design meaningful evaluations and debug training runs
- Experience writing maintainable production code
- Fluency in English
Responsibilities
- Embed within a product team to solve focused ML problems
- Own ML projects from problem framing through production monitoring
- Choose whether to fine-tune, build, or integrate models, APIs, and libraries
- Ship and iterate on ML features quickly
- Gather customer feedback and use it to guide iterations
- Write production code in the product codebase
- Build evaluations, monitor performance, and investigate production failures
Benefits
- Meaningful equity
- Hybrid working from the Paris headquarters
- Visa sponsorship
- Relocation support up to €10,000
- MacBook Pro
- Full home office setup
- 30 days annual leave
- Private healthcare
- Regular company off-sites and team retreats
- Language lessons in English and French
- Flexible working hours
- Extended parental leave
Hiring Process
Screening with an ML Researcher or Engineer; home technical assignment and team review; culture-fit interview and team meeting; reference check and offer.