Senior Software Engineer, Machine Learning

LinkedIn, the world's largest professional networking platform, is seeking a Senior Software Engineer specializing in Machine Learning to join their innovative team in Bengaluru. This role presents an exciting opportunity to work at the intersection of AI and professional networking, developing cutting-edge algorithms that impact millions of users globally.

The position involves working on sophisticated machine learning systems that power LinkedIn's content understanding and classification capabilities. You'll be developing state-of-the-art NLP and vision algorithms to meaningfully understand member-posted content, including text, images, and videos. This work directly influences how millions of professionals communicate and share content on the platform.

As a senior engineer, you'll be responsible for building scalable video systems and developing advanced classification models that can handle LinkedIn's massive scale of millions of content pieces and thousands of categories. The role offers the unique combination of startup-like dynamics with the resources and infrastructure of a global tech leader.

The ideal candidate should have strong expertise in machine learning, computer vision, and deep learning, particularly in video analytics and multi-GPU distributed training. You'll need to demonstrate proficiency in handling large-scale data and building scalable model inference systems. The role requires both technical excellence and leadership skills, as you'll be mentoring junior engineers and representing LinkedIn in academic and industry circles.

Working at LinkedIn offers the opportunity to impact professional lives globally while enjoying comprehensive benefits including health and wellness programs and flexible time-off policies. The hybrid work environment provides the flexibility to work both from home and the office, promoting a healthy work-life balance while maintaining team collaboration.

This role is perfect for someone who is passionate about machine learning, enjoys solving complex technical challenges at scale, and wants to contribute to a platform that transforms how professionals connect and grow in their careers.