Senior Data Scientist for AI Research
6 days ago
Are you passionate about developing cutting-edge AI algorithms to revolutionize the way people connect and find opportunities on LinkedIn?
About the RoleWe are seeking an experienced Senior Data Scientist to join our AI research team, focusing on natural language processing (NLP) and computer vision. As a key member of our team, you will design and develop innovative algorithms to improve content understanding and classification, enabling us to deliver personalized experiences for millions of users.
The ideal candidate will have a strong background in machine learning, deep learning, and NLP, with hands-on experience in building and deploying scalable models. You will work closely with cross-functional teams, including engineering, product management, and data science, to drive business impact through your work.
Key Responsibilities- Develop next-generation NLP and computer vision algorithms to understand visual and textual content
- Create state-of-the-art text/image/video/graph classification models that scale to millions of content items and thousands of categories
- Design and deploy end-to-end model development and deployment at LinkedIn scale
- Mentor junior researchers in utilizing advanced machine learning techniques for critical business problems
- Master's degree or Bachelor's degree with 2+ years of work experience
- 2+ 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
As a senior data scientist at LinkedIn, you will have the opportunity to work on challenging problems, collaborate with talented colleagues, and make a meaningful impact on the company's products and services. We offer a competitive salary range of $160,000 - $220,000 per year, depending on location and experience.
Additionally, we provide a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. Our hybrid work model allows you to balance remote work with in-office collaboration, ensuring a healthy work-life balance.
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