Dailymotion

Machine Learning Engineer (All Genders)

27 March 2024
Full Time
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Deadline date:
£159000 - £245000 / year

Job Description

Company Description

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 for Enterprise“, 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.

Job Description

Joining the Dailymotion data team means taking part in the creation of our unique algorithms, designed to bring more diversity and nuance to online conversations.

Our Machine Learning team, established in 2016, has been actively involved in developing models across a diverse range of topics. Primarily, we focus on recommender systems, and extend our expertise to content classification, moderation, and search functionalities.

You will be joining a seasoned and diverse team of Senior Machine Learning Engineers, who possess the capability to independently conceptualize, deploy, A/B test, and monitor their models.

We collaborate closely with the Data Product Team, aligning our efforts to make impactful, data-driven decisions for our users.

Learn more about our ongoing projects:https://medium.com/dailymotion

As a Machine Learning Engineer, you will:

  • Design and deploy scalable recommender systems, handling billions of user interactions and hundreds of millions of videos.
  • Contribute to various projects spanning machine learning domains, encompassing content classification, moderation, and ad-tech.
  • Foster autonomy, taking ownership of your scope, and actively contribute ideas and solutions. Maintain and monitor your models in production.
  • Collaborate with cross-functional teams throughout the entire machine learning model development cycle:
    • Define success metrics in collaboration with stakeholders.
    • Engage in data collection and hypothesis selection with the support of the Data Analysts Team.
    • Conduct machine learning experiments, including feature engineering, model selection, offline validation, and A/B Testing.
    • Manage deployment, orchestration, and maintenance on cloud platforms with the Data Engineering Team.

Qualifications

  • Master’s degree/PhD in Machine Learning, Computer Science, or a related quantitative field.
  • At least 1 year of professional experience working with machine learning models at scale (experience with recommender systems is a plus).
  • Proficient in machine learning concepts, with the ability to articulate theoretical concepts effectively.
  • Strong coding skills in Python & SQL.
  • Experience in building production ML systems; familiarity with technologies such as GitHub, Docker, Airflow, or equivalent services provided by GCP/AWS/Azure.
  • Experience with distributed frameworks is advantageous (Dataflow, Spark, etc.).
  • Strong business acumen and excellent communication skills in both English and French (fluent proficiency).
  • Demonstrated aptitude for autonomy and proactivity is highly valued.

Additional Information

At Dailymotion, we empower candidates to take action. If this job sounds like a great opportunity for you, be confident in your skills, we are always happy to meet you! If needed, we can accommodate our recruitment process for your special abilities.

Additional Information 

  • Location: Paris (France) – Hybrid Framework
  • Start Date: Upon your availabilities
  • Contract Type: CDI

🔍Want to learn more about us:

For the France offices 

  • 🏡Hybrid Work Framework (4 types of remote work : Full office /Flex office (1/2 days remote) / Flex remote (1/2 days at the office) / Full remote + ability to work 3 month abroad)
  • 💰 Saving Plan Vivendi 
  • 🍼  Paternity leave or Coparental leave extended 
    🕶️  Living Employee Culture (Events / Trainings / Partys / All hands / Dailymotion tradition…) 
  • 🚀  Career development support (training / internal mobility / compensation cycle / 360 quarter feedback review …)
  • 🏥  High-end Health Insurance and Personal Services Vouchers (CESU)
  • ⛱️  Paid Time off – RTT and Saving time plan (CET)
  • ✅  Meal Vouchers – Public Transport and Bike refund 
  • 🎡 European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)  

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