Machine Learning Engineering Manager - Streaming Monetization

The Impact You’ll Be Contributing to Moloco:

We seek an exceptional machine learning engineering Manager to join Moloco’s Streaming Monetization (MSM) team working on our Streaming & OTT platform, the first ML-driven monetization platform that allows leading streaming media and OTT companies to leverage the same state-of-the-art technology stack that Moloco uses to drive our own ML-powered performance ads business. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies.

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers, as seen here (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

The Opportunity:

• Build, grow, and lead a machine learning team across the MSM technology stack.
• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

How Do I Know if the Role is Right For Me?

• MS or Ph.D. degree in Computer Science or related technical field.
• 7+ years of software development experience in Machine Learning, Deep Learning related areas.
• Exceptional level of communication, coordination, Machine Learning development, and development-team management skills.
• Experience mentoring and leading Senior, Mid, and Junior MLEs.
• Fluent in one or more programming languages, including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications, including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.
• Fluent in speaking and writing English.

Preferred Qualifications

• Relevant experience in AdTech or Streaming Media/OTT.