Data Scientist

2 weeks ago


Bengaluru, Karnataka, India LinkedIn Full time
About Us

At LinkedIn, we empower professionals to achieve their career goals and connect with others in their industry.

We have a global reach, allowing us to make a direct impact on the world's workforce like no other company can.

The Role

This is an exciting opportunity for a Research Engineer/Scientist to develop cutting-edge NLP & vision algorithms that can understand member-posted content meaningfully.

You will be instrumental in enhancing the effectiveness of communication and content exchange between millions of LinkedIn members by developing state-of-the-art content understanding and classification algorithms.

This is not limited to extracting features but also summarizing, classifying, and clustering content. We are responsible for the end-to-end stack from idea creation, proof-of-concept, design, to product deployment.

Key Responsibilities:
  • Develop next-gen algorithms to understand visual content, textual content, and member interactions on LinkedIn
  • Develop state-of-the-art text/image/video classification models scaling to millions of content and thousands of categories
  • Build scalable video systems: Design and optimize platforms for video processing, including multi-GPU setups and advanced video modeling
  • Develop state-of-the-art supervised and semi-supervised models scaling to hundreds of millions of members and their content
  • Own end-to-end model development and deployment at LinkedIn scale
  • Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
  • Represent LinkedIn in academic and industry circles by showcasing our innovation, data products, and scientific expertise in bringing game-changing data products to market
Requirements:

To be successful in this role, you will need:

  • A Master's degree OR Bachelor's degree with 5+ years of work experience
  • 5+ years of experience in at least one of the following areas: Computer vision, Image processing, Machine Learning, Statistical modeling/inference, Data mining, NLP, Graph/geometric deep learning, Large Language Models, Generative AI
Estimated Salary Range:

$150,000 - $200,000 per annum, based on location and experience.

What You Will Benefit From Our Culture:

We believe in the well-being of our employees and their families, which is why we offer generous health and wellness programs and time away for employees of all levels.



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