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Reddit, Inc. · 1 day ago

Machine Learning Engineering Intern - Ads ML, PhD (Summer 2026)

San Francisco, CA

Internship

Hybrid

Intern

3+ years exp

Start in 2026 Summer

Reddit, Inc. is seeking Machine Learning Engineering interns for their Ads ML teams as part of their Emerging Talent program. The role involves working on impactful projects, gaining exposure to engineering practices, and contributing to the development of machine learning models to enhance Reddit's advertising ecosystem.

ContentNewsSocial MediaSocial Network

Comp. & Benefits

No H1B

Responsibilities

Work on projects that impact the business

You'll gain exposure to how a real engineering team works, from sprint planning to shipping code

As a MLE intern you will also be exposed to scalable systems that handle the complexity and volume of Reddit’s vast user base and content

Be mentored by experienced engineers from all backgrounds

Contribute to the betterment of Reddit, by designing, implementing, improving, testing, debugging and launching model enhancements to drive revenue growth within the Reddit Ads ecosystem

Ads MLE’s work on a plethora of projects from designing and implementing ML systems to enhance targeting products, developing reusable, scalable features that enhance ranking models, training and fine-tuning LLMs/VLMs, or building Deep Neural Network (DNN) models to support app conversions

Qualification

Machine LearningDeep LearningPythonPytorchKerasTensorFlowData ProcessingPipeline OrchestrationResearch ExperienceCollaboration

Required

Actively working towards a PhD degree at an accredited university/college in Computer Science, Mathematics (or a related field)

Graduating between December 2026 and June 2027, with less than 3 years of relevant professional work experience

Strong knowledge of CS fundamentals (programming comes second nature)

Strong foundational knowledge of machine learning concepts - experience training and evaluating models using pytorch, keras, tensorflow, or SOLR

Experience working with databases, large scale data processing & pipeline orchestration with tools like Dataflow, Kubeflow, Airflow, BigQuery, and Ray

Research experience in Machine Learning, Deep Learning, Recommendation systems, Gen AI (LLMs)

You're over the age of 18 and authorized to work in the United States