Machine Learning Intern, Research
Are you an ambitious and innovative individual looking to make a mark in the world of Machine Learning? Netflix is looking for an enthusiastic Machine Learning Intern to join our Research team. As an Intern, you will have the unique opportunity to learn and grow while applying your knowledge and expertise to various projects. We are looking for someone with strong technical skills and an eagerness to learn. We expect the successful candidate to have a degree in Computer Science, Mathematics, Statistics or a related field and a strong background in Machine Learning and Statistics. The ideal candidate must also have experience in programming languages such as Python, C++, and Java, as well as expertise in popular Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn. In addition, you should have excellent problem-solving and communication skills. This is an exciting opportunity to make a difference in a rapidly growing field and to gain valuable experience. If you think you have the skills and passion to fulfill this role, we look forward to hearing from you.
Experience With Data Visualization Tools
Excellent Problem-Solving And Critical Thinking Skills
Strong Mathematical And Statistical Background
Familiarity With Machine Learning And Ai Concepts And Algorithms
Proficiency In Python And Related Libraries
Ability To Work Independently With Minimal Supervision
Demonstrated Creativity And Curiosity For Data-Driven Solutions
Ability To Communicate Complex Technical Concepts Effectively
Research
Python
Data Analysis
Algorithms
Machine Learning
Deep Learning
Matlab
Tensorflow
Data Visualization
Coding
Data Mining
Data science
Modeling
NLP
Statistics
Communication
Conflict Resolution
Leadership
Problem Solving
Time management
Interpersonal Skills
creativity
Organization
Teamwork
Adaptability
According to JobzMall, the average salary range for a Machine Learning Intern, Research in Los Angeles, CA, USA is $12 to $15 per hour.
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Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.
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