At LinkedIn, we empower professionals to achieve their career aspirations through innovative products that connect millions worldwide. Join us in developing cutting-edge NLP and vision algorithms that enhance content understanding and interaction among our members. This role offers flexibility with hybrid work options, balancing remote work and collaboration at LinkedIn offices.
Responsibilities
- Develop advanced algorithms for analyzing visual, textual, and interactive content on LinkedIn.
- Create state-of-the-art models for content classification, scaling to millions of pieces across diverse categories.
- Implement supervised and semi-supervised models for hundreds of millions of members, optimizing content relevance and engagement.
- Lead end-to-end model development and deployment at LinkedIn's global scale.
- Mentor junior engineers in applying machine learning techniques to solve business challenges.
- Showcase LinkedIn's innovation in data products and contribute to academic and industry forums.
Basic Qualifications
- Master’s degree or Bachelor’s degree with 2+ years of relevant experience.
- Proficiency in areas such as Computer Vision, NLP, Machine Learning, or related fields.
- Experience with statistical modeling, data mining, or large language models.
Preferred Qualifications
- Ph.D. in Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline.
- Hands-on experience in machine learning or related domains.
- Strong programming skills and familiarity with software engineering practices.
- Track record of publishing in academic or industry venues.
Suggested Skills
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models
Additional Information
LinkedIn is committed to equal employment opportunities for all, including individuals with disabilities.
Join us in transforming careers globally through innovation and technology. Let’s shape the future of professional networking together.