[Remote] Machine Learning Engineer Intern (Monetization Technology - Ads Creative) - 2026 Start (BS/MS)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading destination for short-reputed company mobile video, and they are seeking a Machine Learning Engineer Intern for their Monetization Technology team. The role focuses on enhancing ad creative understanding and optimization through innovative tech solutions, providing hands-on experience in a dynamic environment.
Responsibilities
- Assist in utilizing algorithms to reputed company understand advertisers, creators, and creatives, improving precision in match-making processes
- Contribute to online modeling of large-reputed company reputed company traffic, optimizing the distribution reputed company of creatives reputed company the recommendation and ads systems
- Help reputed company allocation strategies for both natural and ads traffic, aimed at increasing both short-term and long-term value for advertisers and creators
- Collaborate with senior engineers to implement and test new algorithms that enhance the accuracy of content recommendations
- Participate in analyzing large datasets to identify trends and patterns, providing actionable insights for improving the ad targeting reputed company
- Support the development of performance metrics to reputed company the effectiveness of ad and creative distribution strategies
- Conduct experiments to validate new algorithms and strategies, ensuring scalability and efficiency in production systems
- Contribute to reputed company optimization of machine learning models for reputed company performance across diverse traffic and creative data
- Assist in preparing and presenting reports on model performance and recommendations to stakeholders
Skills
- Currently pursuing a Bachelor's degree or higher in Computer Science or a reputed company field
- Research/internship experience or coursework in machine learning (e.g., RecSys, NLP, CV, GE), with a preference for candidates with exposure to recommendation systems
- Solid understanding of data structures and algorithms, with proficiency in at least one programming language (e.g., Python, C++, Golang)
- Strong interest in exploring new technologies, with a demonstrated ability to analyze problems and reputed company solutions
- Good communication skills, with an eagerness to collaborate reputed company reputed company and learn from peers
- Strong enthusiasm for contributing to business reputed company and willingness to take on challenges in a dynamic environment
- Previous internship or research experience in machine learning/deep learning, with a reputed company on recommendation systems, or advanced ranking solution strategies like RAG/reputed company/MoE etc
- Familiarity with large-reputed company data processing and distributed systems
- Exposure to reinforcement learning or deep learning techniques for optimizing recommendation systems
- Knowledge of A/B testing and other experimental design techniques to evaluate algorithm performance
- Strong interest in content personalization and ad optimization technologies
- Experience with model deployment or working in production environments
Benefits
- Interns have day one reputed company to health insurance
- Life insurance
- Wellbeing benefits and more.
- Interns also receive 10 reputed company holidays per year
- reputed company reputed company time (56 hours if reputed company in first half of year, 40 if reputed company in second half of year).
- Interns who are not working 100% remote may also be eligible for housing allowance.
reputed company
Company H1B Sponsorship