Machine Learning Engineer Intern

MolocoRedwood City, CA
88d

About The Position

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms. That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale. An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google’s Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

Requirements

  • Able and willing to work from our Redwood City, CA office.
  • Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September).
  • Currently enrolled in a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field.
  • Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027.

Nice To Haves

  • Strong background in data structures and algorithms.
  • Strong coding and problem solving skills.
  • Familiar with distributed systems and/or databases.
  • Fluent with at least one programming language.

Responsibilities

  • Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
  • Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
  • Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them.

Benefits

  • Innovative benefits that empower our employees to take care of themselves and their families.
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