Machine Learning Engineer - Ads H/F - 92

Dailymotion is more than a video app, it's a visual conversation in motion, based on a unique algorithm designed to broaden users' horizons. Dailymotion brings nuance to the debates that animate young people and puts listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet.

Dailymotion is also "Dailymotion Pro", a video hosting and broadcasting solution for professionals in all sectors; and "Dailymotion Advertising", a powerful, proprietary video advertising platform, offering a high-quality, secure environment for brands.

Our team is made up of 400 people in France, New York, and Singapore, all united by the same ambition: to visibly shake up the global video platform ecosystem.

At Dailymotion, our team of talented individuals from over 40 nationalities embraces four core values every day:

- Opening Perspectives:We love connecting different ideas and people, supporting freedom of speech, and inclusivity, and celebrating diverse cultures.
- Making Bold Moves:We're daring and ambitious, ready to take unique steps that bring noticeable improvements to our platform.
- Building a Safer World:Empathy guides us. We care deeply about each other and are dedicated to creating a safe and supportive community.
- Creating Meaning:We spark curiosity and joy in everything we do, feeling proud of our work and eager to share that fulfillment with everyone.

Our team comprises 400 people in France, New York, and Singapore, all united by the same ambition: to shake up the global video platform ecosystem visibly.Make a huge impact at Dailymotion by joining our team as a Machine Learning Engineer. You will be responsible for building models and making data-driven decisions that shape the future experience of all Dailymotion viewers.

You will:

- Work on data science challenges related to monetization optimization by leveraging petabytes of video, audience engagement, and advertising data to improve both revenue performance and user experience.

- Take ownership of end-to-end machine learning initiatives from ideation to deployment, and proactively drive improvements in subjects like ad pressure, targeting, pricing, or delivery strategies.

- Contribute to and improve our existing machine learning models.

- Design robust and accurate new models.

- Work closely and collaboratively with different teams throughout the full cycle of model development:

- - Definition of success metrics with stakeholders

- - Data collection and hypothesis selection with the support of the Data Analysts team

- - Machine learning experiments (feature engineering, model selection, offline validation, and A/B testing)

- - Deployment, orchestration, and maintenance on managed cloud platforms with the Data Engineering team

- Contribute to and promote good software engineering practices across the Machine Learning team.