Manager, Software Engineering, Machine Learning (Ads AI)

Basic Qualifications

BA/BS in Computer Science or other technical discipline, or related practical technical experience

5+ years of related industry experience in software design, development, and algorithm related solutions

1+ years of experience in software engineering/technical engineering management and people management

1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

Hands on experience in data modeling and machine learning

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you

This role will be based in Mountain View, CA.

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.

The Ads Marketplace Optimization team is responsible for the AI solutions for the fast growing Marketing Solutions business at LinkedIn. As a manager, you will lead a team of Machine Learning engineers to solve some of the cutting-edge AI problems that empower large & small businesses to reach, engage, and convert professional audiences at scale. This role provides a unique set of challenges w.r.t. scale and complexity for AI modeling as well as systems-infrastructure. The top areas include auction design, bidding and pacing algorithms, pricing, as well as building low-latency systems to serve these complex models in real time.

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 at LinkedIn you will be responsible for leading a team of Applied Researchers and Machine Learning Engineers that build and own algorithms, models, and systems that power our LinkedIn platform.

Responsibilities

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.