
Machine Learning Engineer - Content Machine Learning
As a machine learning engineer on the team, you will help lay the foundation that allows the team to accelerate and therefore more effectively scale its impact. Independently deliver effective solutions to problems. Own full-stack technology, from data to product and the feedback loop. Synthesize common patterns & build effective abstractions across different ML pipelines that accelerate the impact of ML driven insights. Develop horizontal solutions to Increase robustness of the team’s ML model portfolio. Partner with the Data Engineering & ML Infrastructure teams in a two-way exchange of best practices. Communicate results to a variety of audiences, technical and non-technical.
At least five years of experience in applied ML or ML systems/infrastructure
Experience building ML infrastructure, with an eye towards software engineering.
Strong coding experience is required
Passion for and an appreciation of the entertainment industry is definitely a plus.
Sql
Time Management
Hadoop
Spark
Python programming skills
ML packages
Process Improvement
Results Oriented
Verbal communication
written communication
Adaptability and Creativity
According to JobzMall, the average salary range for a Machine Learning Engineer - Content Machine Learning in 5808 Sunset Blvd, Los Angeles, CA 90028, USA is between $88,000 and $132,000.
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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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