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🚀 Internship

Machine Learning Engineer Intern

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AppLovin

6d ago

🚀 Summer Internship
💻 Remote

AI generated summary

  • The candidate must be a Ph.D. student in Computer Science or related field, have knowledge in deep learning, proficiency in Python and ML libraries, strong problem-solving and communication skills, and preferably experience in recommendation systems and non-academic technical experience.
  • As a Machine Learning Engineer Intern at AppLovin, you will contribute to the development of cutting-edge deep learning architectures and ML infrastructure, pushing the boundaries of machine learning technology in a dynamic, innovative environment.

Summer Internship

Data

Description

  • At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team.

Requirements

  • You are currently working towards earning a Ph.D. in Computer Science or a related quantitative / engineering field
  • Knowledge in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).
  • Solid programming skills in Python and proficiency in relevant ML libraries.
  • Excellent problem-solving abilities.
  • Strong communication skills and the ability to work collaboratively in a team environment
  • Preferred Qualifications:
  • Experience in Recommendation System Research: Candidates with a background in developing or researching recommendation algorithms or systems.
  • Achievements in CS or Math Competitions: We value candidates who have received awards or recognition in computer science or mathematics competitions.
  • Non-Academic Technical Experience: Participation in events like hackathons is highly regarded, demonstrating practical and innovative technical skills outside of formal education.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Data

Responsibilities

  • We are in search of a Machine Learning Engineer Intern to become a member of our impactful Research Science team. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re looking for a learning opportunity that will allow you to push the boundaries of machine learning technology, build multi-billion dollar businesses with advanced algorithms, and work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for. This will be a 2-3 month long internship and could start in both Spring and Summer 2024 (depending on graduation date).

Details

Work type

Full time

Work mode

remote