Machine Learning Manager

Manager, Machine Learning

Company Description

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.

Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour — and tens of millions more shares and likes.

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.

Job Description

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

Responsibilities:

• As a Manager, you will participate in key technical and design discussions with technical leads in the team.
• You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the Trust organization
• You will collaborate with trust-focused teams such as the Policy team, legal team, ML infrastructure team, and AI foundation team.
• You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
• You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
• You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
  

Qualifications

Basic Qualifications:

• MS/PhD degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
• 8+ years of experience in machine learning, artificial intelligence, or related fields.
• 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
• Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
• Experience of leading a team of engineers as a people manager.
• 1+ year(s) of management experience or 1+ year(s) of staff level experience with management training

Preferred Qualifications:

• 3+ years of management experience.
• MS or PhD in Computer Science, Statistics or related technical discipline
• Experience with machine learning, optimization algorithms, and/or deep-learning techniques
• Experience developing large scale systems
• Leadership or mentorship experience is preferred
• Analytical approach coupled with solid communication skills and a sense of ownership
• Track record of producing papers in conferences such as KDD, ... and Patenting Innovations

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

Suggested Skills
People Management
Clustered computing systems experience
Experience in building ML data systems

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.

Experience Level

Mid Level