Job Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

LinkedIn’s Trust organization is dedicated to maintaining a high standard for content on the platform. As part of this effort, the team develops and deploys machine learning models across diverse platforms, including Ads, feed, messaging, jobs, and more. The Content Abuse Prevention team focuses on enhancing the LinkedIn member experience by building scalable models that detect and prevent content abuse, particularly through advanced video-related initiatives. Leveraging large-scale video processing, video pipelines, multi-GPU optimization, and computer vision, we work to create robust solutions that identify and mitigate harmful video content. From idea conception and proof-of-concept to scalable design and framework development, your role will be vital in advancing our capabilities and ensuring a safer, more enriching digital community.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

• Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

Qualifications

Basic Qualifications

• BS in Computer Science or related field with 8+ years of relevant engineering work experience and 2+ years of hands-on technical management experience
• 5+ years software design, coding in one of the following languages: Java, C++

Preferred Qualifications

• 3+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.
• 3+ years of experience in building and working with production grade systems.
• Shipped several large-scale projects with dependencies across multiple teams.
• Experience working with Machine Learning engineers and on Machine Learning tech stack.
• Built and delivered on successful cross-functional partnerships across multiple teams.
• Been actively involved in creation and execution of technical strategy and roadmap.
• Actively coached, mentored and grew team members in their careers.
• Track record in partnering with recruiting to hire and build incredible engineering teams.

Suggested Skills

• Technical Leadership
• People Management
• Stakeholder Management

How 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.

Additional Information

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_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.