Senior Software Engineer| ML Infrastructure

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun, where everyone can succeed.

Join us to transform the way the world works.

This role will be based in 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.

At LinkedIn, our Trust Foundational AI Platforms and Foundations team stands as the innovation epicenter, addressing the fundamental needs of our trust teams and partnering with other AI teams to build the best AI capabilities and platforms. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead state of the art AI and cutting-edge innovations. We are dedicated to creating a transformative impact, establishing our solutions as a leader in the AI realm.

As a senior 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 and trust product teams. We are looking for engineers who are passionate about building large backend systems and have experience or 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. In this role, you will be responsible for maintaining a high level of craftsmanship in the quality of software and its design. You will also be responsible for leading engineers in the team and collaborating with partners.

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
- Leadership through influence and collaboration to achieve high impact
- Demand excellence to come up with high quality designs and writing maintainable and reliable software.

Basic Qualifications:
- BS, MS or PhD in Computer Science or a related technical discipline
- 5+ 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.D. in Computer Science or a 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.
- Experience driving projects across teams - both remote and local - to achieve results

Suggested Skills:
- Distributed systems
- Backend Systems Infrastructure
- Machine Learning

You will Benefit from our Culture:
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.

India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_+-12-2023.pdf

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This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

India
Karnataka
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