Advanced Machine Learning Researcher for Scalable Content Understanding
2 weeks ago
We're on a mission to make LinkedIn the most effective platform for professionals to achieve their goals. To do this, we need innovative minds like yours to develop cutting-edge algorithms that can understand and analyze vast amounts of content.
About the RoleWe're looking for a talented researcher to join our team and contribute to the development of next-gen machine learning models that can scale to millions of users and content pieces. As part of this role, you'll be working on state-of-the-art NLP and computer vision algorithms to improve the way we understand and classify user-generated content.
Your primary focus will be on developing and deploying end-to-end model solutions at LinkedIn scale. You'll have the opportunity to work with a diverse range of data types, including text, images, and videos, and collaborate with top-notch engineers and scientists to drive innovation in the field.
Responsibilities- Develop and deploy scalable machine learning models for content understanding and classification
- Collaborate with cross-functional teams to integrate models into production environments
- Design and implement experiments to evaluate model performance and identify areas for improvement
- Mentor junior researchers and engineers to ensure knowledge sharing and skill growth
- Master's degree in Computer Science, Engineering, or related field, or Bachelor's degree with 2+ years of relevant experience
- 2+ years of experience in machine learning, deep learning, or NLP
- Strong programming skills in languages such as Python, Java, or C++
You'll benefit from our collaborative culture, where innovation and experimentation are encouraged. You'll also have access to cutting-edge tools and technologies, as well as opportunities for professional growth and development.
Estimated Salary: $140,000 - $200,000 per year
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