Machine Learning Engineer

Flim; Paris; Sur place; Confidentiel; Plein temps

Résumé du poste

A leading AI SaaS platform in Paris is seeking a Machine Learning Engineer. You’ll own the model lifecycle, fine-tune AI models, and explore cutting-edge research. Responsibilities include training models, deploying production systems, and collaborating with teams to integrate AI features. Ideal candidates should have strong Python and PyTorch experience. This role offers unique benefits including an all-inclusive trip to the Cannes Film Festival and a flexible work environment.

Prestations

All inclusive trip to Cannes Film Festival

100% healthcare subscription

Swile restaurant tickets

Gymlib access

50% NAVIGO Pass

Remote work days

Weekly organic food deliveries

Computer allowance and starter kit

Qualifications

• Strong experience with Python, PyTorch, and transformer architectures.
• Hands-on experience with fine-tuning, model training, and evaluation frameworks.
• Ability to read and synthesize research papers and evaluate new techniques.
• Familiarity with data visualization and data exploration tools.

Responsabilités

• Fine-tune transformer-based models on internal datasets.
• Design training pipelines, evaluation methods, and experiments.
• Monitor the latest AI techniques and propose improvements.
• Deploy and optimize models for production.

Connaissances

Python

PyTorch

Fine-tuning

Model training

Evaluation frameworks

Data visualization

Cloud environments (AWS preferred)

Docker

MLOps workflows

Outils

Pandas

Matplotlib

Description du poste

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 & Visualisation

• Explore datasets, run analysis, and produce lightweight data visualisations when needed.
• Help improve data quality, labeling strategy, and dataset structure.

Production & Infrastructure

• Deploy and optimise 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

• Strong experience with Python, PyTorch, and transformer architectures.
• Hands‑on experience with fine‑tuning, model training, and evaluation frameworks.
• Ability to read and synthesize research papers and evaluate new techniques.
• Familiarity with basic data visualisation and data exploration tools (Pandas, Matplotlib, etc.).
• Curiosity, autonomy, and willingness to explore new AI tools and approaches.

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
• Gymlib, a pass that give access to sport
• 50% of your NAVIGO Pass if you live in Paris.
• Days of remote work every week
• Organic food meal delivered once a week
• Computer allowance and a work starter kit (desk, chair, etc…)

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