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Google • Mountain View - On-Site
Google is hiring a Software Engineer for their YouTube Ads Machine Learning team. You'll work on developing and optimizing machine learning models for large-scale Ads platforms using C++ and Python. This position requires 2 years of software development experience.

DoorDash USA • San Francisco - On-Site
DoorDash is seeking a Machine Learning Intern for Summer 2026 to tackle challenges in machine learning and artificial intelligence. You'll work with technologies like NLP, Recommender Systems, and Computer Vision across various projects. This internship is ideal for candidates pursuing a Master's degree in relevant fields.

DoorDash USA • San Francisco - On-Site
DoorDash is seeking a Machine Learning Intern (PhD) for Summer 2026 to tackle challenges in machine learning and artificial intelligence. You'll work on cutting-edge research and contribute to improving product experiences using technologies like NLP and Computer Vision. This internship is ideal for PhD candidates in relevant fields.

GoFundMe • San Francisco - Hybrid
GoFundMe is seeking a Senior Manager, Machine Learning Engineering to lead a team in delivering impactful ML solutions. You'll work with advanced AI techniques and oversee the development of innovative applications. This role requires strong leadership and expertise in machine learning.

Meta (Facebook) • Sunnyvale - On-Site
Meta is hiring an AI Research Engineer to advance AI, ML, and RecSys technologies for personalized ads. You'll work on ranking, retrieval, and optimization to maximize user utility and advertiser value.

Meta (Facebook) • Sunnyvale - On-Site
Meta is hiring an AI Research Engineer to advance AI, ML, and RecSys technologies for personalized ads. You'll work on ranking, retrieval, and optimization to maximize user utility and advertiser value.

Spotify • New York - Remote
Spotify is hiring a Senior Staff Machine Learning Engineer to lead the development of machine learning systems for the Home team. You'll work with Generative AI and large-scale recommender systems to enhance user experience. This role requires extensive experience in machine learning and technical leadership.

Amazon • Sunnyvale - On-Site
Amazon is hiring an Applied Science Manager for the Fire TV Science team to lead the Language Understanding sub-team. You'll work on innovative algorithms that enhance content discovery and customer engagement. This position requires experience in machine learning and leadership skills.

Spotify • New York
Spotify is hiring a Senior Staff Machine Learning Engineer to focus on recommender systems modeling and generative AI. You'll work closely with cross-functional teams to define and execute the machine learning technical strategy. This position requires expertise in machine learning and recommender systems.
