Senior/Staff Applied Scientist

About Photoroom

Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create technology allowing anyone to create studio‑level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises such as Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We are a profitable, remote‑friendly company that has raised Series B funding and aims for 40 % year‑over‑year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide.

About the Role

Photoroom is looking for a talented Senior/Staff Applied Scientist. You will work on several ML solutions, from requirements and literature review to product delivery. You will own most of this process, be trusted, and have your say on data acquisition, optional labeling, overall strategy and follow‑ups. Your work will serve millions of users and contribute to cutting‑edge technology.

• You will be the eleventh engineer in the ML team, working alongside great talent from various backgrounds.
• You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes.
• You will master the whole pipeline, from training models to putting them into production and monitoring their performance.
• You will work on new features, new applications, and some 0→1 solutions.
• You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that.
• You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks.

About You

• You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch.
• You have extensive experience with diffusion models for image creation or editing. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre‑training.
• You are always the most pragmatic person in the room.
• You favor speed of iteration over perfection, always leveraging frameworks and libraries to avoid reinventing the wheel.
• You have experience working on products requiring complex architectures.
• You have a strong sense of ownership.
• You take initiative and are at ease to make product & technical decisions.
• You have worked as part of a talented team and have experience in a fast‑growing startup.
• You’re curious, comfortable with explaining or learning depending on the situation, and value knowledge sharing and humility.
• You are fluent in English (French is not required).

Hiring Process

• Screening call with our Head of AI.
• Home technical assignment, reviewed with the team.
• Culture fit interview and meet the team.
• Reference check & offer.

Compensation & Benefits

• Competitive salary + Stock‑Options/BSPCE.
• Relocation support with 10 k€ signing bonus and assistance with apartment search and visa.
• Technology allowance: new MacBook Pro, monitor, keyboard, etc.
• Socials: quarterly retreats, weekly Happy Hour & Game Time.
• Remote‑friendly: work from anywhere in Europe within 3‑hour flight from Paris; office visits once a month fully reimbursed.
• Language lessons: English & French as needed.

Support

If you have a medical condition or an individual need for an adjustment to our process, let us know so we can discuss how we can best support you.

Diversity, Equity, Inclusion, and Belonging: We are 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. We offer flexible working hours, trust people to work remotely, and provide 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.