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Machine Learning Engineer Animaj
Next-gen media company creating multi-platform franchises for kids and families.
CDI
Paris
Télétravail fréquent
Salaire : non spécifié
> 5 ans
Bac +5
Votre nouvelle entreprise
90 collaborateurs
Télévision / Production audiovisuelle
Cinéma
Créée en 2022
50%
50%
Animaj is a next-generation, international media company that creates, manages and delivers engaging and premium brands to kids and families everywhere.
We acquire and transform high-quality IPs into multi-platform franchises, using a digital-first approach.
Harnessing real-time Kids’ trend detection, cutting-edge audience engagement tools, and AI-driven animation production, we’re propelling groundbreaking technologies in kids’ entertainment. Our content, produced independently, aims to inspire children to dream, explore, and create.
To bring this vision to life, we have so far raised €175m in equity and debt (including LeftLane, XAnge and Daphni) and already acquired 4 IPs (as of June 2023) - including our flagship, Pocoyo, a symbol of European excellence - with more to come.
Vos missions au quotidien
Description
Animaj leads the global media industry by creating and delivering premium 3D animation to families worldwide. Traditional animation, rooted in outdated processes since the early ‘90s, lags behind the fast-paced demands of today’s digital economy.
Our innovation addresses the time-intensive nature of traditional animation, where each second can take hours or a week to produce.
As a Machine Learning Engineer at Animaj, you’ll be instrumental in pioneering sophisticated AI solutions that will be implemented in our 3D animation production workflows.
You will report to the VP of Engineering and will be part of an ambitious team pushing the boundaries of the Kids’ animation industry through innovation in generative AI applications.
Responsibilities
Design, implement, evaluate models for business opportunities sourcing, audience/content understanding and channels optimization (eg channel pricing, CPM estimation, topic extraction from videos, audience interests, reverse-engineer YT recommendations) leveraging data from several sources (Youtube API, social networks, etc)
Perform explorations to understand what drives kids entertainment channels/videos performance on Youtube
Design and run AB tests and experimentation to identify optimization levers for our Youtube channels/videos
Manage machine learning models in production (logging, monitoring, alerting)
Feed models outputs into our data pipelines to enrich our data models
Collaborate with our data engineers to specify what data points/sources should be acquired
Ce que l’on cherche
Requirements
5+ years of experience designing, training and deploying in production machine learning models
Masters or PhD in machine learning or related field
You’re up to date with the most recent models and techniques in NLP, RL, DL fields and know how to best apply them to concrete business problems
Excellent coding skills in Python
Ability to formalize, analyze and solve complex problems
Demonstrated strong autonomy, proactiveness, pragmatism and technical leadership
Ability to explain complex scientific and technical concepts to any audience clearly
Strong written and verbal communication skills
English proficiency and experience working in an international environment
Benefits
Stock Options - We want all of our early employees to participate fully in Animaj’s success.
Health Care - We provide totally subsidized/covered health care.
Remote Policy - Dedicated to your work-life balance, we offer 2 days remote and 3 days per week at the office. Why? Because we think that magic occurs when people work together, but we also believe that there are times when you need to be able to work without interruption.
Work environment - A stimulating workplace that fosters creativity, autonomy and leadership.
Nos étapes de recrutement
Screening interview with our VP of Engineering
Case Study homework
Focus interview with our VP of Engineering and another Machine Learning Engineer
Final interview with our CEO
Chiffres clés
En bref
Année de création
2022
Nombre d'employés
90
Genre
50%
50%
