Top Tech Jobs & Startup Jobs

The Executive Assistant will support the VP for Ads Engineering by managing calendars, coordinating travel, and ensuring organized communication channels, while maintaining discretion with sensitive information.

The Human Data Operations Manager will design annotation workflows for ML, establish data benchmarks, and partner with cross-functional teams to enhance evaluation processes.

Lead a team of data engineers to build high-scale, reliable processing systems for the Ads domain while ensuring data privacy and security.

The Software Engineer will architect scalable graph solutions, manage data governance for large datasets, and develop cloud-based applications in the ad tech space.

The Senior Research Program Manager will oversee global research projects, manage workflows for content screenings, and collaborate with various teams to enhance research methodologies. Responsibilities include designing survey processes, driving efficiencies, and managing partnerships with vendors and internal teams.

As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

Develop and maintain distributed systems for Netflix, promoting high availability, scalability, and performance while mentoring engineers and building robust infrastructure.

Design, develop, and deploy scalable systems for content production at Netflix, collaborating with multiple teams to enhance efficiency and resilience.

The role involves designing scalable infrastructure, collaborating for reliability, automating monitoring and response tools, managing incidents, and promoting reliability culture at Netflix.

Lead the Consumer Authorization team at Netflix to develop and innovate access policy platforms for high-scale streaming, Ads, and Games services, while mentoring backend engineers and building strong relationships with product management and engineering partners.