$80K — $100K *
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.
*Below, insert Team and Role specific info and any additional info, like impact, etc.
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.
Bachelor's degree in Computer Science or related technical field or equivalent technical experience
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
Valid through: 12/14/2020
$200K — $250K
4 days ago
$80K — $100K
4 days ago