Machine Learning Engineer Intern (Hiring Immediately) in London

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for machine learning company—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

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.

Able and willing to work from our London, England 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. 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.

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. We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.

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 achieve our vision to become the scaling engine for the Internet economy. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.