Senior Software Engineer - Machine Learning Team

Teads
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Job Description

To innovate, we promote diversity and are committed to creating an inclusive environment for all employees.

Our organization gives the possibility to work remotely part of the time and more flexibility is open to discussion. We also offer relocation packages if you prefer to settle down in one of our engineering offices.

Join a team of passionate people who build quality and responsible advertising, at scale!

Our Machine Learning Team

The Machine Learning Team has developed a prediction framework used by all Teads teams. It is divided into 3 lanes with well-defined objectives: the Platform Lane develops different tools and libraries related to machine learning used by all Teads, also seeking to provide an efficient and reliable machine learning framework. The Product Lane is close to the business and provides support for machine learning related to performance, branding and demographic audiences. It creates new prediction models and improves existing ones with new features or algorithm optimization for example. Finally, the Exploration Lane experiments with new algorithms, tools and technologies in order to challenge the current stack and ensure that we are using techniques that are relevant to our business.

Our main Engineering matters

  • Working on a very high traffic environment with low latency and high availability constraints
  • Rich tech stack and system architecture to optimize for performance, scalability, resiliency and cost efficiency
  • Fast changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products
  • Management of large dataset with milliseconds order of magnitude access time to compute in near real time complex auction resolution algorithm
  • Build efficient and easy to use web products used by thousands of users working for the world's most premium publishers, advertisers and agencies

What will you do?

As a Senior Software Engineer in our Machine Learning Team, your missions will be to:

  • Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
  • Create, design, develop, test and monitor your code in production autonomously and reliably
  • Implement ML algorithms and models end to end.
  • Work together with the data scientists to improve our ML performance.
  • Mentor other team members to improve their autonomy and Software Engineering skills.
  • Collaborate with a variety of teams to develop services from design to production.
  • Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
  • Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.

What will you bring to the team?

  • Good programming abilities. Testing your development is second nature to you, and you are very mindful about your application’s architecture, performance and maintainability and its overall quality.
  • Multiple shipped projects in Software Engineering, and ideally in a ML context.
  • Experience with distributed computing, such as Apache Spark.
  • Strong problem solving skills.
  • Strong communication skills both written and oral, and a great team spirit.
  • Working collaboratively with the team, able to explain your decision and share your knowledge.

Company Info.

Teads

Teads is the global media platform. We have united and empowered the best publishers in the world and distribute ads to over 1.9 billion people every month within professionally-produced content. Our end-to-end platform delivers full-funnel, outcome-oriented advertising powered by cutting-edge creative technology (Teads Studio) and AI-driven optimization. Not content with outdated ad experiences in the market.

  • Industry
    Advertising
  • No. of Employees
    670
  • Location
    New York, NY, USA
  • Website
  • Jobs Posted

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