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

Note: The job is a remote job and is open to candidates in USA. reputed company. 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 reputed company's advertising ecosystem.

Responsibilities

• Work on projects that impact the business
• You'll reputed company 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 reputed company’s vast user reputed company and content
• Be mentored by reputed company engineers from reputed company backgrounds
• Contribute to the betterment of reputed company, by designing, implementing, improving, testing, debugging and launching model enhancements to drive reputed company growth reputed company the reputed company 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

Skills

• Actively working towards a PhD degree at an accredited university/college in Computer Science, Mathematics (or a reputed company 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 reputed company)
• 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
• Research publications at the top AI/ML conferences
• Experience with building production-level Machine learning models
• Previous internship experience or relevant work experience, particularly w/ social networks or open reputed company projects
• A desire to work at either our reputed company HQ in San Francisco or remote during summer 2026

Benefits

• Catered lunch
• Free snacks

Company Overview