Software Engineer, Machine Learning
Description For Software Engineer, Machine Learning
LinkedIn is seeking a talented Machine Learning Software Engineer to join our innovative team. This role offers an exciting opportunity to work at the intersection of AI and professional networking, developing cutting-edge algorithms that impact millions of users worldwide.
As a Machine Learning Engineer at LinkedIn, you'll be part of a dynamic team responsible for developing state-of-the-art NLP and vision algorithms to understand member-posted content meaningfully. You'll work on sophisticated content understanding and classification algorithms that enhance communication and content exchange between LinkedIn's vast user base.
The role combines the excitement of a startup with the resources and scale of a global technology leader. You'll have the opportunity to work on end-to-end solutions, from idea creation and POC to design and product deployment. The position involves working with cutting-edge technologies in machine learning, including computer vision, NLP, and large language models.
Our hybrid work environment offers flexibility, allowing you to balance remote work with in-office collaboration. You'll be part of a team that values innovation, mentorship, and professional growth. The role provides exposure to academic and industry circles, allowing you to represent LinkedIn and showcase our technological innovations.
This is an ideal opportunity for someone passionate about machine learning who wants to make a significant impact on how professionals worldwide connect and share knowledge. You'll work with large-scale data and complex challenges while contributing to LinkedIn's mission of connecting the world's professionals.
Responsibilities For Software Engineer, Machine Learning
- Develop next-gen algorithms to understand visual content and textual content and member interactions on LinkedIn
- Develop state-of-art text/image/video/graph classification models scaling to millions of content and thousands of categories
- Develop state-of-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
- Represent LinkedIn in academic and industry circles
Requirements For Software Engineer, Machine Learning
- Master's degree OR Bachelor's degree with 2+ years of work experience
- 2+ years of experience in computer vision, image processing, machine learning, statistical modeling/inference, data mining, NLP, graph/geometric deep learning, Large Language Models, or Generative AI
- 2+ years of hands-on experience working on machine learning, deep learning, NLP or related topics
- Understanding of standard programming and software engineering practices
- Ability and eagerness to program
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