About the role
We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. 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 (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 Qualification
- MS or Ph.D. degree in Computer Science or related technical field
- 4+ years of software development experience 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.
- Experience in building a highly scalable model or online service system.
- Fluent in speaking and writing English.
Preferred Qualifications
- Relevant experience in AdTech
(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
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.