TL;DR

Senior Applied Scientist (AI): Develop and own ML solutions including training and deploying diffusion models for image creation and editing with an accent on full pipeline mastery and product impact. Focus on designing, iterating, and optimizing cutting-edge AI models serving millions of users with fast feedback loops.

Location: Work from anywhere in Europe within a 3-hour flight from Paris with monthly office visits. Relocation support to Paris including visa and housing assistance.

Company

%hirify_global% is a profitable AI photo editing startup with over 300 million downloads, serving both individual creators and enterprises worldwide, backed by Series B funding and Y Combinator.

What you will do

Own ML work streams end-to-end from requirements to production and monitoring.
Develop new features and 0→1 solutions in a small multicultural ML team.
Train and fine-tune diffusion models from scratch and contribute to open-source projects.
Iterate quickly based on user feedback and product usage data.
Collaborate closely with a team of passionate engineers and stakeholders.

Requirements

Must be located in Europe or willing to relocate to Paris with relocation support.
3+ years experience with PyTorch, Tensorflow, or Jax, preferably PyTorch.
Deep experience training and modifying diffusion models for image tasks.
Strong ownership, pragmatism, and ability to make product and technical decisions.
Experience working in fast-growing startups and collaborative teams.
Fluent English required; French is not mandatory.

Nice to have

Experience with open-source ML projects.
Knowledge of complex ML architectures and pipelines.

Culture & Benefits

Competitive salary with stock options and signing bonus for relocation.
Remote-friendly with monthly office visits fully reimbursed.
Company retreats, weekly social events, and language lessons.
Supportive environment valuing diversity, inclusion, and flexible working hours.

Hiring process

Screening call with Head of AI.
Technical assignment completed at home and reviewed with the team.
Culture fit interview and team meeting.
Reference check and offer.