Unclassified - Sunnyvale, CA

posted about 2 months ago

Full-time - Mid Level
Remote - Sunnyvale, CA
5,001-10,000 employees

About the position

As a Senior Engineer on the Ads Ranking AI team at LinkedIn, you will be at the forefront of developing and optimizing AI models and infrastructure that drive the Marketing Solutions business, which generates over $5.5 billion in revenue. This role is pivotal in solving complex machine learning and AI infrastructure challenges that enable businesses, both large and small, to effectively reach, engage, and convert professional audiences at scale. You will be responsible for designing and developing innovative solutions that involve handling large datasets and integrating multiple interconnected machine learning inference and data systems. Your contributions will directly impact the performance of ads on LinkedIn's Feed and Messaging platforms, ensuring that our users receive relevant and timely content. In this position, you will collaborate with a talented team of over ten engineers, working together to deliver impactful solutions that enhance the user experience. You will be expected to write production-quality code and influence the next generation of engineering solutions at LinkedIn. The role requires a strong understanding of scalable AI innovations, and you will work closely with foundation and infrastructure partners to achieve these goals. The work environment is hybrid, allowing you to balance remote work with in-office collaboration as needed, based in Sunnyvale, CA.

Responsibilities

  • Solve cutting-edge ML/AI infrastructure problems that empower large & small businesses to reach, engage, and convert professional audiences at scale.
  • Design and develop solutions involving large amounts of data, and multiple interconnected ML inference and data systems.
  • Write production quality code and influence the next generation of LinkedIn's engineering solutions.
  • Collaborate across the team (10+ engineers) to deliver impact for Ads on LinkedIn Feed and Messaging.
  • Build scalable AI innovations with foundation and infrastructure partners.

Requirements

  • BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
  • 2+ years experience in software design, development, and algorithm related solutions.
  • 2+ years programming experience in Java.

Nice-to-haves

  • 4+ years of relevant experience building large scale systems and machine learning infrastructure.
  • MS or PhD in Computer Science or related technical discipline.
  • Working knowledge in one or more of the following: machine learning (ML), data mining, information retrieval, search or statistics.
  • 2+ years of experience with Scala, Python, and/or Tensorflow.
  • Experience working with streaming solutions (Kafka, Samza, etc.)

Benefits

  • Generous health and wellness programs
  • Time away for employees of all levels
  • Annual performance bonus
  • Stock options
  • Comprehensive benefits package
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