Flim is the go-to platform for iconographic search, helping creatives worldwide discover inspiration and bring their boldest ideas to life. We’re riding the wave of the deep learning revolution in image and video generation, using cutting-edge AI to shape the next generation of creative tools.

Our SaaS platform powers top creatives across Hollywood, music production, video games, fashion, and more. Since our launch in 2020, we’ve grown to over 200k users worldwide, including prestigious clients like A24, Publicis, Apple, Jacquemus, and BETC. Based in Paris, our 20-person team is scaling fast and we’re just getting started.

We’re now looking for a Machine Learning Engineer to own our model lifecycle end-to-end. You’ll fine-tune and train models, dive into the latest research, experiment with cutting-edge architectures, and deploy production-ready inference systems that bring our platform to life. If you thrive at the crossroads of deep learning, applied research, and real-world engineering, Flim is the place to make your mark.

Tasks

Training models

• Fine-tune transformer-based models (vision, language, multimodal) on internal datasets.

• Occasionally train custom models from scratch when off-the-shelf options are not sufficient.

• Design training pipelines, evaluation methods, and experiments.

Research

• Monitor the latest AI techniques, architectures, papers, and tooling relevant to our product.

• Run experiments to compare SOTA approaches and propose improvements.

• Summarize findings and recommend model updates.

Data & Visualization

• Explore datasets, run analysis, and produce lightweight data visualizations when needed.

• Help improve data quality, labeling strategy, and dataset structure.

Production & Infrastructure

• Deploy and optimize models for production (batch jobs, API endpoints, GPU inference, serverless environments).

• Build and maintain inference pipelines, monitoring, logging, and performance dashboards.

• Collaborate with backend and product teams to integrate new AI features.

Requirements

Optional but a plus:

• Comfortable with cloud environments (AWS preferred), Docker, and production deployment practices.

• Experience with building or maintaining ML inference pipelines , APIs, or MLOps workflows.

Benefits

• All inclusive trip to “Le Festival de Cannes” prestigious movie festival

• 100% of your healthcare subscription

• "Tickets Resto'' with Swile

If you’re excited about shaping the future of creative search with AI and joining a diverse & fun team, please send us your resume!