Product ML Engineer - Production AI for Ecommerce

Photoroom

Paris (KY)

Hybrid

USD 78,000 - 106,000

Full time

14 days+

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Benefits offered by this job

Competitive salary + meaningful equity
Hybrid working from our Paris HQ
Visa sponsorship and relocation up to
MacBook Pro and full home office setup
30 days annual leave
Private healthcare
Regular company off-sites and team ret
International English-speaking team
Language lessons in English and French

Job summary

Photoroom in Paris is seeking a Product ML Engineer to join a product experience team (SMB/Scaler/Enterprise) and own end-to-end ML initiatives with tangible customer impact. You’ll translate problems into measurable outcomes, sometimes fine-tuning models, sometimes integrating external solutions, always delivering value to users.

You’ll operate with the speed of a product engineer, shipping features from framing to production, while collaborating with ML and product teams to balance depth and

Qualifications

  • Shipped ML into production or shipped ML-powered products.
  • Strong experience with PyTorch or equivalent frameworks.
  • Product-minded and focused on customer impact.

Responsibilities

  • Embed directly within a product team and own ML projects end-to-end.
  • Make build vs. buy decisions for models and integrations.
  • Move from idea to production quickly with rapid iteration and customer feedback.
  • Write production code within the product team's codebase.

Skills

ML in production
PyTorch
Product mindset

Tools

TensorFlow

Job description

Photoroom in Paris is seeking a Product ML Engineer to join a product experience team (SMB/Scaler/Enterprise) and own end-to-end ML initiatives with tangible customer impact. You’ll translate problems into measurable outcomes, sometimes fine-tuning models, sometimes integrating external solutions, always delivering value to users.

You’ll operate with the speed of a product engineer, shipping features from framing to production, while collaborating with ML and product teams to balance depth and

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