Machine Learning Platform Engineer

Il y a 2 mois


Paris, Île-de-France Liftoff Temps plein

Liftoff is a leading growth acceleration platform for the mobile industry, empowering advertisers, publishers, game developers, and DSPs to scale revenue growth with innovative solutions for marketing and monetizing mobile applications.

Our comprehensive suite of products, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, supports over 6,600 mobile businesses across 74 countries in diverse sectors such as gaming, social media, finance, e-commerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff boasts a global presence with a diverse workforce.

As we continue to expand and evolve, we're embarking on an exciting journey to build the next generation ML Platform. This platform will be instrumental in aligning our technologies with our current business needs and driving further growth. Currently, we handle 1.5 billion ML inferences per second daily using a custom setup. We are now developing a new ML platform to support neural networks at this scale, enhancing the intelligence of our models.

As a Software Engineer on the Machine Learning Platform team at Liftoff, you will:

  • Collaborate with an experienced team of ML, Software, and Infrastructure Engineers who are constructing the next generation ML platform for Liftoff.
  • Design, engineer, and implement reliable, scalable, and cost-efficient systems to support our cutting-edge ML Platform.
  • Contribute to delivering tangible business results by enabling next-generation ML models and technologies.
  • Utilize a combination of vendor-based products (AWS, Databricks, etc.), open-source technologies (PyTorch, PySpark, etc.), and in-house tooling.

Desired qualities and experience:

  • Exceptional coding abilities in any backend language.
  • Strong foundational knowledge of computer science principles (data structures, algorithms, system architecture).
  • 6+ years of industry experience.
  • Experience building Machine Learning tooling or platforms, particularly for large-scale problems, is highly advantageous.
  • Familiarity with Python or Spark is a plus.
  • Experience thriving in a fast-paced, dynamic environment within a growth-oriented company is valuable.


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