Senior AI Engineer at LinkedIn
🇺🇸 United States › California › Sunnyvale (Posted Mar 28 2021)
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 LinkedIn AI org is responsible for developing machine learning algorithms, engineering data pipelines and scalable software platforms that fuel all LinkedIn applications. We use state-of-the-art big data and AI technologies to solve problems. To name a few examples:
1) We developed new classes of machine learning models based on generalized mixed effects models to combine disparate sources of data for personalization at the member level.
2) We heavily employed LSTM, CNNs, and sequence-to-sequence models for most of our natural language processing and computer vision tasks.
3) We built an “AI automation” platform called Pro-ML that allows us to manage the features and machine learning models for every engineering team at the company from one system. This system provides a single platform for the entire lifecycle of developing, training, deploying, and testing machine learning models. Our data infrastructure team innovated Kafka and Samza. We leverage them as well as Hadoop, Ambry, Spark, TensorFlow, Pig/Hive, Azure to process data.
The Jobs Marketplace AI team provides the end-to-end AI support to LinkedIn’s billion-dollar paid job business. As a senior software engineer on machine learning, you will build tools and systems to improve LinkedIn job posting products and grow LinkedIn revenue sustainably. You will be responsible for designing auction mechanism that determines the set of jobs to be shown on all paid job inventory on LinkedIn, and blending the paid & organic jobs to deliver value commensurate with spending, while ensuring high engagement from tens of millions of job seekers.
-You will study the production, distribution, and consumption of seeker engagement in the job ecosystem
-You will frame the connection between customer budget and returned value, and build the market mechanism to establish incentives to pay for job posters
-You will work with Big data, crunching millions of samples for modeling the problem of matching jobs postings and job seekers
-You will bring the state of the art data mining and machine learning technologies to bear on these problems
You will provide technical leadership, shaping, driving, and practicing best engineering practices
-You will initiate, plan, and execute large scale, cross functional, and org wide critical programs
-Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
-2+ years of industry experience
-Experience in one of the machine learning libraries such as Tensorflow, PyTorch, Sci-Kit, Numpy etc
-Experience in one of the programming languages such as Java, C++, Python etc
-Experience in working on large scale data, and deploying ML solutions into production environments
-MS or PhD in Computer Science or related technical discipline
-3+ years of work experience in the advertisement domain
-Experience working on the TensorFlow platform and in designing scalable recommendation algorithms.
-Experience in designing and building infrastructure and web services at large scale.
-Experience in one or more of the following: machine learning, data mining, advanced statistics, information retrieval, or natural language processing.
-Experience with Hadoop, Spark, Pig or other MapReduce paradigms.
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
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