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Software Engineering Manager, Machine Learning

LinkedIn

LinkedIn

Software Engineering, Other Engineering
Bengaluru, Karnataka, India
Posted on Thursday, June 13, 2024
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.

As an AI/ML Engineering Manager, you'll be the driving force behind the cutting-edge foundational models and platforms that power LinkedIn’s Trust ecosystem. With a deep understanding of both machine learning theory and practical implementation, you'll lead a talented team in developing algorithms that enhance user experiences, efficient processes while ensuring a safe and engaging environment for our global community. You will be instrumental in shaping the future of social interaction, utilizing advanced techniques like natural language processing, computer vision, and recommendation systems.

This role will be based in Bangalore.

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.

Responsibilities:
* As a hands-on manager, you will participate in key technical and design discussions with technical leads in the team.
* Collaborate with application engineering, product, and partner teams to design machine learning solutions to be applied at scale and contribute to the product and engineering strategy.
* Develop roadmaps and drive execution.
* Attract world class talent and provide technical guidance, career development, and mentoring to team members.

Basic Qualifications:
* 3+ years of management experience
* Bachelor's Degree in Computer Science or related technical field or equivalent technical experience
* 6+ years of industry experience with machine learning, optimization algorithms, and/or deep learning

Preferred Qualifications:
* 3+ years of management experience
* MS or Ph.D. in Computer Science or related technical field or equivalent technical experience
* Worked with web-scale traffic and data.
* Experience with building scalable AI systems and foundation models
* Experience in natural language processing and/or computer vision.
* Experience with content moderation and/or anti-abuse.
* Experience with statistical modeling deployed at scale.
* Analytical approach coupled with solid communication skills, a sense of ownership.
* Strong product and strategic thinking.

Suggested skills:
* Machine Learning
* People Management
* Software Development

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_9-12-2023.pdf

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