Senior/Staff Applied Scientist

Photoroom; Roma; Remoto; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading AI photo editing company in Italy is seeking a Senior/Staff Applied Scientist to join their ML team. You will manage the complete ML workstreams from model training to deployment. The ideal candidate will have over 3 years of experience with machine learning frameworks, especially PyTorch, and extensive knowledge in diffusion models. This position offers competitive salary, stock options, and remote-friendly flexibility.

Servizi

Competitive salary + Stock-Options

Remote-friendly work environment

Relocation support including €10k signing bonus

New MacBook Pro and other equipment

Quarterly retreats and team activities

Language lessons offered

Competenze

• 3+ years of experience in machine learning frameworks, preferably PyTorch.
• Extensive experience with diffusion models in image creation or editing.
• Strong sense of ownership and pragmatic mindset.

Mansioni

• Own end-to-end ML pipelines: train, deploy, and monitor models.
• Collaborate with teammates on large-scale projects.
• Define requirements and design experiments.

Conoscenze

Experience in PyTorch

Experience in TensorFlow

Experience in Jax

Experience with diffusion models

Fluency in English

Descrizione del lavoro

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. 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.

We are a profitable, remote‑friendly company raised Series B funding, targeting 40% year‑over‑year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration to create exceptional impact worldwide.

Role Overview

Senior/Staff Applied Scientist – join our ML team as the eleventh engineer. You will own ML workstreams, from requirements to literature review, model training, deployment, and monitoring, across new features and 0‑to‑1 solutions. You will work on cutting‑edge ML solutions, including a diffusion model that we train from scratch for the open‑source community.

Responsibilities

• Own end‑to‑end ML pipelines: train, deploy, and monitor models.
• Define requirements, conduct literature reviews, and design experiments.
• Make data‑acquisition, labeling, strategy, and follow‑up decisions.
• Collaborate with teammates on large‑scale projects and provide product‑impact feedback from users.
• Fast iterate based on product usage metrics.

Qualifications

• 3+ years of experience in PyTorch, TensorFlow or Jax, preferably with PyTorch.
• Extensive experience with diffusion models for image creation or editing: trained from scratch, performed deep surgery beyond pre‑training.
• Strong ownership sense and pragmatic mindset; prioritize rapid iteration.
• Experience building complex architectures in a product setting.
• Fluency in English; French is not required.
• Background in a fast‑growing startup and ability to work in a multicultural team.

Benefits & Support

• Competitive salary + Stock‑Options / BSPCE.
• Remote‑friendly: work from anywhere in Europe within a 3‑hour flight from Paris; office visits once a month (fully reimbursed).
• Relocation support: €10k signing bonus, apartment help, visa assistance.
• New MacBook Pro, monitor, keyboard, etc.
• Quarterly retreats, weekly happy hour & game time.
• International team; English is working language; language lessons offered.

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.

Support & Inclusivity

We’re committed to enabling everyone to feel included and valued. We invite you to let us know if you need any accommodation in our hiring process.

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

Contact & Application

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