Job Description

About Us

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 the 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 like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. Were 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.

TL; DR

Photoroom is looking for a talented Senior/Staff Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, all the way to a product. 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, be useful and be remarked. We are also training an open?source diffusion model from scratch, offering the opportunity to contribute to something cutting?edge and shareable with the broader ML community.

Benefits

• Competitive salary + Stock?Options/BSPCE
• Flexible work in Europe within a 3?hour flight from Paris (HQ); office visits monthly (fully reimbursed)
• Substantial relocation support (10k signing bonus) and assistance with apartment, visa
• New MacBook Pro, monitor, keyboard, etc.
• Quarterly company retreats, weekly Happy Hour & Game Time
• Language lessons for English & French where needed

About the Role

• You are 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

• 3+ years of experience with PyTorch, Tensorflow or Jax, willing to maintain and possibly start with PyTorch.
• Extensive experience with diffusion models for image creation or editing. Youve trained diffusion models from scratch, or practiced deep surgery beyond their original pre?training.
• Pragmatic and prioritize speed of iteration over perfection; leverage frameworks and libraries.
• Experience working on products requiring complex architectures.
• Strong sense of ownership; initiative; comfortable making product & technical decisions.
• Experience as part of a talented team in a fast?growing startup.
• Curious, comfortable explaining or learning, values knowledge sharing and humility.
• Fluent in English; French 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

Accommodations

If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.

Diversity, Equity, Inclusion, and Belonging

Were 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. Thats 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.

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