Engineering Manager — ML Researcher Tooling

Welcome to Netflix - the leading entertainment streaming service that brings joy to millions of people around the world. We are seeking a highly-driven and innovative Engineering Manager with a strong background in Machine Learning (ML) research tooling to join our dynamic team. As an Engineering Manager - ML Researcher Tooling, you will play a crucial role in driving the development of cutting-edge ML tools to enable our researchers to deliver impactful recommendations and personalization algorithms. If you are passionate about building next-generation ML tooling and possess the necessary technical skills and leadership experience, we want to hear from you! Join us in shaping the future of entertainment at Netflix.

1. Develop and implement strategies for building cutting-edge ML research tools to support the needs of our researchers.
2. Lead a team of engineers and collaborate with cross-functional teams to design, develop, and deploy innovative ML tools.
3. Identify and prioritize key areas for improvement in existing ML tooling and drive continuous enhancements.
4. Work closely with the ML research team to understand their needs and provide technical guidance and support.
5. Stay updated with the latest advancements in ML research tooling and incorporate them into our processes and tools.
6. Oversee the development and maintenance of ML tooling infrastructure, ensuring its scalability and reliability.
7. Set and monitor key performance indicators to measure the effectiveness and impact of the ML tooling.
8. Mentor and coach team members to grow their technical skills and foster a culture of continuous learning.
9. Collaborate with other engineering managers to align on technical priorities and ensure efficient resource utilization.
10. Represent Netflix in industry events and conferences to share our advancements in ML research tooling.

According to JobzMall, the average salary range for a Engineering Manager — ML Researcher Tooling is between $120,000 to $170,000 per year. However, this can vary depending on factors such as experience, location, and company size. Salary can also be influenced by specific skills and qualifications, such as expertise in machine learning and research tooling. Additionally, bonuses, benefits, and equity may also play a role in the total compensation package for this role.

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.