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JioStar India Private Limited in Bengaluru is seeking a Staff Machine Learning Engineer to lead advanced video processing initiatives within our Video Engineering team. You will guide domain strategy and collaborate with research and product teams to deliver scalable media infrastructure.
You should have 6+ years in multimedia software, strong C++/Java, deep codec and streaming knowledge, and hands-on experience with FFmpeg/GStreamer and AI-driven media solutions.
As a Staff Machine Learning Engineer, you will demonstrate strong independence and technical proficiency while collaborating effectively within the team. You will uphold a standard of excellence, ensuring high-quality work and timely delivery of projects. Additionally, you will serve as the functional lead within your domain, providing guidance and expertise to team members.
Join our Video Engineering team as a Staff Engineer leading the development of next-generation media infrastructure. You'll work on cutting-edge challenges in video codec optimization, AI-driven quality assessment, and streaming at massive scale. This role offers the opportunity to shape the technical strategy for video processing systems that serve millions of concurrent users globally.
7 to 9 years of experience with BE/B.Tech in Computer Science/Electrical Engineering or equivalent. MS or PhD a plus
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar India Private Limited (formerly known as Star India Private Limited) is an equal opportunity employer.
The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work.
The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.