Top Tech Jobs & Startup Jobs

As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.

As a Lead Software Engineer, you'll be part of the team responsible for developing Direct-to-Consumer client apps for platforms like Disney+ and Hulu on Roku devices. You'll work with BrightScript, enhance UI/UX, develop features, and collaborate on tools involving JavaScript and AWS.

As a Lead Software Engineer for the Roku Client Application team, you will build client apps such as Disney+, Star+, ESPN, and Hulu on Roku devices. Responsibilities include developing application features, contributing to web tools, and collaborating with engineering teams.

The Lead Software Engineer will manage the development of a large-scale data platform for both batch and real-time processing. The role involves designing a cloud-based big data infrastructure, optimizing performance, and advocating for engineering best practices in a collaborative environment.

The Senior Software Engineer will contribute to building and enhancing a high-performance, distributed, microservice-based Advertising Platform. Responsibilities include developing big data applications, enhancing cloud infrastructure, advocating best engineering practices, and collaborative innovation with teams.

The Executive Director of Software Architecture for Ads is responsible for leading the software engineering and data architecture teams, defining architectural standards, and ensuring the implementation of scalable and efficient solutions. This role involves collaboration with stakeholders, mentoring team members, and driving innovation through the adoption of emerging technologies. Additionally, the director will oversee compliance with regulatory requirements and play a key role in technology strategy discussions.

The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.