Software Engineer, AI Productivity

Software Engineer, AI Productivity



Software Engineer, AI Productivity
Bangalore, India

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 org develops complex relevance models at large scale to fight various forms of bad/inappropriate content on LinkedIn. We are building a brand new team in Bangalore that focuses on making the model building process simpler and reliable by way of building systems which commoditize this process thus reducing the entry barrier and making iterations faster

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.

• Building frameworks which let you quickly experiment with various state of the art models and auto-retrain production models
• Deploy the models in production systems & monitor/troubleshoot/debug production issues related to models which can occur in online/nearline/offline systems
• Build systems to monitor metrics
• 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
• 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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