Research Engineer - Machine Learning Efficiency

Welcome to the world of Netflix, where we are constantly pushing the boundaries of entertainment through innovative technology. As a Research Engineer in Machine Learning Efficiency, you will play a crucial role in driving the efficiency and effectiveness of our machine learning algorithms and models. Your work will directly impact the recommendations and personalization experiences for our millions of global users. We are seeking a passionate and driven individual with a strong background in machine learning, data analysis, and software engineering. If you are excited about the intersection of entertainment and technology and are looking for a challenging and rewarding opportunity, we want to hear from you.

1. Conduct research and analysis on current machine learning algorithms and models used for recommendations and personalization on Netflix platform.
2. Identify areas for improvement in efficiency and effectiveness of machine learning algorithms and models.
3. Develop and implement new techniques and strategies to improve the performance of machine learning algorithms and models.
4. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand business goals and translate them into technical solutions.
5. Stay up-to-date with the latest developments and advancements in machine learning and artificial intelligence.
6. Design and conduct experiments to evaluate the performance of new techniques and algorithms.
7. Use data analysis to identify patterns and insights that can inform decision-making and improve machine learning efficiency.
8. Develop and maintain software tools and platforms to support machine learning research and experimentation.
9. Communicate findings and recommendations to stakeholders in a clear and concise manner.
10. Actively contribute to the development and improvement of the overall machine learning infrastructure at Netflix.
11. Continuously monitor and evaluate the performance of machine learning algorithms and models, and make necessary adjustments to ensure optimal efficiency and effectiveness.
12. Provide technical guidance and mentorship to junior team members.
13. Collaborate with external partners and researchers to stay at the forefront of machine learning advancements.
14. Participate in conferences, workshops, and other events to share knowledge and learn from others in the field.
15. Adhere to best practices and ethical standards in all machine learning research and development.

According to JobzMall, the average salary range for a Research Engineer - Machine Learning Efficiency in Los Gatos, CA, USA is between $120,000 and $180,000 per year. This can vary depending on the specific company, years of experience, and other factors such as education and skills. Additionally, bonuses and benefits may also be offered, which can impact the overall salary range.

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.