Product ML Engineer

Photoroom, Inc.; Paris; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work from Paris headquarters

Visa sponsorship and relocation up to€

MacBook Pro and home office setup

30 days annual leave

Private healthcare

Regular off-sites and retreats

International English-speaking team

Language lessons in English and French

Zusammenfassung

Photoroom, Inc. is seeking a Product ML Engineer to join a product experience team (SMB, Scaler or Enterprise) and own the ML side of short, high-impact projects.

You will work on focused ML problems with clear product outcomes, sometimes fine-tuning models or integrating the best externally available model, but always delivering the fastest and most effective path to customer value. Youll bring the technical depth of an Applied Scientist while operating with the pace and pragmatism of a product

Qualifikationen

• You've shipped ML into production.
• You can fine-tune vision or diffusion models and design meaningful evaluations.
• You're a pragmatic builder who uses external models when fastest to value.
• You're product-minded and measure success by shipped features and business outcomes.
• You're comfortable in production codebases and can move between experimentation and production engineering.
• You have strong ownership and drive ML problems to production.
• You iterate quickly and learn from user feedback.
• You're curious and collaborative and fluent in English.

Aufgaben

• Embed directly within a product team.
• Own ML projects end to end from framing to production release.
• Decide when to fine-tune or build versus using external models.
• Move from idea to production with rapid iteration and customer impact.
• Collaborate with the ML team while staying aligned with product cadence.
• Gather rapid user feedback and drive next iterations.

Kenntnisse

ML in production

PyTorch

TensorFlow/JAX

Production code

English fluency

Jobbeschreibung

About us

Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce.

We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.

We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.

Role Summary

We're looking for a Product ML Engineer to join one of our product experience teams - SMB, Scaler or Enterprise - and own the ML side of short, high-impact projects.

You'll work on focused ML problems with a clear product outcome, sometimes fine-tuning one of our models, sometimes integrating the best externally available model, but always choosing the fastest and most effective path to customer value.

You'll bring the technical depth of an Applied Scientist while operating with the pace and pragmatism of a product engineer. You'll own the journey from framing the problem through to shipping, measuring and iterating on the feature in production.

This is not a research role. Your time horizon is weeks rather than quarters, and success is measured by what reaches users and the impact it creates.

About the role

• Embed directly within a product team. Work closely with the SMB, Scaler or Enterprise team on focused ML problems tied to clear customer and business outcomes.
• Own ML projects end to end. Frame the problem, choose the approach, execute the plan, ship the feature and monitor its performance in production.
• Make the build vs. buy decision. Determine when to fine-tune or build a model yourself versus integrating an external model, API or existing library.
• Move from idea to production quickly. Work on projects scoped in weeks rather than quarters, prioritising rapid iteration and customer impact.
• Work closely with the ML team. Leverage shared infrastructure, evaluation tooling and expertise while remaining embedded in the product team's priorities and cadence.
• Stay close to users. Get rapid feedback from customers, monitor how people use what you've shipped and use those insights to drive the next iteration.
• Balance technical depth with pragmatism. Know when deeper modelling work is necessary and when an existing solution is already good enough to ship.
• Write production code. Work directly in the product team's codebase rather than operating primarily through research notebooks and experiments.
• Own quality in production. Build sound evaluations, monitor performance and investigate failures once the feature is live.

About You

• You've shipped ML into production. You have 2+ years of hands-on experience building and shipping ML-powered products, with strong experience in PyTorch or equivalent frameworks such as TensorFlow or JAX.
• You have applied-science depth. You can fine-tune vision or diffusion models, design meaningful evaluations and debug training runs when necessary.
• You're a pragmatic builder. You care about solving the customer's problem rather than proving that your own model is the best approach. You'll happily use an external model, API or existing library when that's the fastest route to value.
• You're product-minded. You measure success through shipped features, user behaviour and business outcomes rather than papers or benchmarks alone.
• You're comfortable in production codebases. You can move between experimentation and production engineering, writing maintainable code that lives inside a real product.
• You have strong ownership. You're comfortable taking an ambiguous ML problem, deciding what matters, choosing an approach and driving it through to production.
• You iterate quickly. You enjoy short feedback loops and would rather ship something useful, learn from users and improve it than spend months optimising something that hasn't reached production.
• You're curious and collaborative. You can both explain your expertise and learn from the deep technical expertise around you. You value knowledge sharing and humility.
• You're fluent in English. French isn't required.

Nice to have: experience shipping generative image models or diffusion models into production; experience evaluating third-party AI APIs against internal alternatives; experience working in a fast-growing startup or directly within a product team.

Benefits

• Competitive salary + meaningful equity
• Hybrid working from our Paris headquarters
• Visa sponsorship and relocation support up to €10,000
• MacBook Pro and full home office setup
• 30 days annual leave
• Private healthcare
• Regular company off-sites and team retreats
• International English-speaking team
• Language lessons in English and French

Hiring Process

1. Screening with an ML Researcher / Engineer
2. Home technical assignment and review with the team
3. Culture fit interview and meet the team
4. Reference check and offer

Support: We value diversity and aim to create an inclusive experience for all applicants. Please let us know if there's anything we can do to make the process more accessible for you.

Diversity, Equity, Inclusion, and Belonging

We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.

That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.

All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.