Staff Software Engineer, AI Platform Developer

4 days ago


Mountain View, California, United States LinkedIn Full time
AI Platform Developer

At LinkedIn, we're building the future of AI. As a Staff Software Engineer, AI Platform Developer, you'll play a crucial role in designing and implementing the next-gen AI training infrastructure to power our AI use cases. You'll work closely with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry.

Responsibilities
-Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models.
-Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
-Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
-Working closely with the open-source community to participate and influence cutting edge open-source projects.

Requirements
-Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience
-4+ years of experience in the industry with leading/ building deep learning systems.
-4+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
-Hands-on experience developing distributed systems or other large-scale systems.

What You'll Get
-Opportunities to advance one of the most scalable AI platforms in the world.
-A chance to work with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry.

Why LinkedIn?
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. We're committed to fair and equitable compensation practices and offer a competitive salary and benefits package. Join us to push the boundaries of scaling large models together and build a career that matters.

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