About MOLOCO

Moloco’s goal is to make the digital economy more equitable and profitable by delivering advanced machine learning to companies of all sizes. With Moloco’s machine learning platform for growth and performance, every app publisher and online retailer can now unlock the value of their unique, first-party data for user acquisition, retention, and monetization campaigns. 

Founded in 2013, our advanced machine learning engine powers our product portfolio. Moloco Cloud DSP enables performance marketers to quickly scale user acquisition and achieve greater lifetime value through battle-tested prediction models. Moloco Retail Media Platform enables online retailers and marketplaces to establish their own performance ads business. 

Our technology is best in class; we received the SMARTIES X silver award for Machine Learning and AI, and Moloco was named the Cross-Industry Winner for Google Cloud Customer Awards. 

The company is in hyper-growth mode and we ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work

It’s a great time to join this innovative team. Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Seattle, London, Seoul, Singapore, Beijing, and Tokyo. For more information, visit www.moloco.com

About the role

We are seeking exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco' 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/

What You Will Do

  • 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.

Basic Qualifications

  • MS or Ph.D. degree in Computer Science or related technical field
  • 6+ years of software development experiences in Machine Learning, Deep Learning related areas
  • Fluent with 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.

Preferred Qualifications 

(We truly encourage you to apply even if you don’t have these)

  • MS or Ph.D. degree in Computer Science or related technical field

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