AI Engineering Lead
2 days ago
LinkedIn is the world's largest professional network, empowering members to achieve their career goals. Our mission is to connect the world's professionals and make them more productive. With a strong commitment to innovation, we're constantly pushing the boundaries of what's possible in the field of artificial intelligence.
Location:
This role will be based in Sunnyvale, California, offering a hybrid work option that allows you to balance remote work with collaboration in our office. We value flexibility and trust each other to do our best work where it works best for us and our teams.
Team Overview:
The Ads Ranking team at LinkedIn is responsible for developing and applying cutting-edge AI solutions in the Marketing Solutions business. As a Senior Staff Software Engineer, you'll be part of a diverse group of talented engineers working on complex AI problems that enable large and small businesses to reach, engage, and convert professional audiences at scale. You'll contribute to building systems that leverage and support new AI techniques for image and text generative models, multi-task learning, transfer learning, content understanding, deep learning, entity embedding, and algorithms to optimize member experience and advertiser ROI in the marketplace.
Responsibilities:
You'll collaborate with senior engineers, data scientists, and product managers to drive technical direction and deliver high-quality software solutions. Your expertise will help shape the engineering strategy and roadmap for AI-powered products. Additionally, you'll partner with cross-functional teams to identify and prioritize opportunities for innovation and growth. Your success will depend on your ability to lead by example, mentor junior engineers, and foster a culture of continuous learning and improvement within the team.
Qualifications:
We're looking for an exceptional engineer with 5+ years of industry experience in software design, development, and algorithm-related solutions, including experience with machine learning and recommendation systems. A Bachelor's or Master's degree in Computer Science or a related field is required, as well as strong academic credentials with publications in top-tier journals and conferences. Experience with cloud computing platforms, such as AWS or GCP, is highly desirable.
Benefits:
We offer a competitive salary range of $180,000 to $300,000, depending on your experience and qualifications. Our comprehensive benefits package includes medical, dental, and vision coverage, a 401(k) plan, paid time off, and access to cutting-edge technology and tools. You'll also have the opportunity to participate in our employee stock purchase plan and receive a bonus based on individual performance and company goals.
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