LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

LinkedIn looking for a Software Engineer – Machine Learning to develop state of art NLP & vision algorithms to understand member posted content meaningfully.

Job Designation : Software Engineer – Machine Learning

Salary : 23 LPA – 29 LPA

Qualification : Bachelor’s / Master’s Degree / PhD

Experience : Freshers / Experienced

Skill Set :

  1. Proficiency in Python, SQL, and cloud platforms such as GCP, AWS, or Azure.
  2. Sound knowledge of Machine Learning, Deep Learning.
  3. Good with Generative-AI and Large Language Models.
  4. Good understanding of standard programming and software engineering practices.
  5. Understanding and experience in scaling solutions for ML and AI applications.
  6. Experience working within Agile Frameworks for ML and AI projects.
  7. Excellent written and verbal communication skills

Job Description:

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

  1. Develop next-gen algorithms to understand visual content and textual content and member interactions on LinkedIn.
  2. Develop state-of-art text/image/video/graph classification models scaling to millions of content and thousands of categories.
  3. Develop state-of-art supervised and semi-supervised models scaling to hundreds of millions of members and their content.
  4. Own end-to-end model development and deployment at LinkedIn scale.
  5. Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems.
  6. Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market.

Location : Bengaluru, Karnataka, India

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