Software Engineer, AI Platform
Bangalore, India
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
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LinkedIn’s AI Infra org develops frameworks that run complex relevance models at large scale and make it simple for developers to build, experiment and derive insights that lead to further innovation. We are building a brand new team in Bangalore that focuses on making it simple to productionize offline trained models in a reliable way and feeds data back to offline systems for further training.
As an engineer in this team, you will build AI systems that are highly reliable, performant and scalable while hiding its complexities and making it easy to use for AI engineers. We are looking for engineers who are passionate about building large backend systems and are inquisitive to learn about AI technologies. You care deeply about ease of use, quality and extensibility of the systems you build. You embrace changes and have a startup mindset.
Responsibilities:
Design, implement and operate systems that enable online experimentation of AI models reliably.
Collaborate closely with partner teams in infrastructure and AI to integrate with other systems to run a seamless ML pipeline
Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality
Basic Qualifications:
BS, MS or PhD in Computer Science or a related technical discipline
2+ years of experience in building large scale online systems or data systems.
Preferred Qualifications:
Experience building AI platforms or models
Experience with search systems or similar large-scale distributed systems
MS or Ph. . in Computer Science or related technical discipline
Thorough knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in AI and distributed systems.
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