Senior Research Scientist, Computer Graphics / Computer Vision / Machine Learning

At Netflix, we are seeking a talented and experienced Senior Research Scientist to join our Computer Graphics / Computer Vision / Machine Learning team. You will be responsible for driving innovative research and development initiatives for improving the visual experience for our users. As a Senior Research Scientist, you will be the expert in the field, leading research projects and collaborating with colleagues to develop cutting-edge algorithms in computer graphics, computer vision, and machine learning.The ideal candidate for this position has significant experience in the field, a passion for pushing the boundaries of technology, and a strong ability to communicate and collaborate. We are looking for someone who is excited to contribute to our team and to the Netflix experience.Required Qualifications:• PhD in Computer Science or related field• 7+ years of research experience in computer graphics, computer vision, and/or machine learning• Demonstrated ability to lead successful research projects• Excellent communication and teamwork skills• Ability to work independently and collaboratively• Experience with deep learning frameworks such as PyTorch or TensorFlow• Experience with neural network architectures, image processing, and computer vision

According to JobzMall, the average salary range for a Senior Research Scientist, Computer Graphics / Computer Vision / Machine Learning in Los Angeles, CA, USA is between $93,000 and $172,000 per year.

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.