Machine Learning Engineer Intern

The Impact You’ll Be Contributing to Moloco:

We are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns.

We are seeking exceptional Machine Learning interns 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. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer, with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are:

• 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.

Minimum Qualifications:

• Able and willing to work from our Redwood City, CA office.
• Available to work during the summer of 2025 (May through September).
• By the start of the internship, actively enrolled in a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field, and returning back to the school program at the completion of the internship.
• Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2026.

Preferred Qualifications:

• 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