Women Impact Tech

Software Engineer - Artificial Intelligence (Ads AI)

    Sunnyvale, CA

About the job

LinkedIn was built to help professionals achieve more in their careers, and everyday 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 are much more than a digital resume – we transform lives through innovative products and technology.

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

The Ads AI team is responsible for the AI solutions for the fastest growing Marketing Solutions business ($2.5B+) at LinkedIn. As a Software Engineer, you will be responsible for solving 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 member personalization for all ad formats, placements, and objectives; marketplace optimization via targeting, bidding & budget pacing, and pricing algorithms, global supply/demand modulation; and specialized solutions for identity inference, and our offsite ads network. The team works on diverse problems across deep-learning, active learning (feedback & control, bandits and reinforcement learning), auction design, multi-objective optimization, graph algorithms, as well as building low-latency systems to serve these complex models in real time to over 600M+ LinkedIn members.


  • Work with large-scale data, leveraging and developing new techniques for multi-task learning, transfer learning, deep learning, entity embedding, real-time controllers, optimization algorithms, or system infrastructure to optimize member experience and advertiser ROI in the marketplace. Partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.

Basic Qualifications:

  • Bachelor's degree in Computer Science or related technical field or equivalent technical experience

Preferred Qualifications:

  • 1+ years of relevant work experience.
  • MS or PhD in Computer Science or related technical discipline.
  • Experience with machine learning, optimization algorithms, and/or deep-learning techniques.
  • Experience developing large scale systems.
  • Ability to diagnose technical problems, debug code, and automate routine tasks.
  • 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

Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here. Please reference the EOCC Document and the EOCC Supplemental Document for more information.

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
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn’s legal duty to furnish information.

Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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://lnkd.in/GlobalDataPrivacyNotice

Meet LinkedIn

LinkedIn is the world’s largest professional network. Our vision is to create economic opportunity for every member of the global workforce.