Staff Engineer - ML Systems (CoreAI)

$200,000 - $268,000/Yr

Unclassified - Mountain View, CA

Full-time - Mid Level

Remote - Mountain View, CA

5,001-10,000 employees

About the position

The Staff Engineer - ML Systems role at LinkedIn involves developing and training advanced machine learning models and algorithms to enhance personalized recommendations for members. This position is integral to the Core AI organization, which focuses on addressing fundamental AI challenges and driving innovations across LinkedIn's products. The role emphasizes collaboration, technical leadership, and hands-on coding to implement scalable AI solutions.

Responsibilities

• Develop and train cutting-edge machine learning models and algorithms.
• Work with big data for statistical modeling, data mining, and recommendation solutions.
• Design system architecture and implement scalable data pipelines and services.
• Write production-quality code and influence the next generation of LinkedIn's systems.
• Collaborate with a team of 10+ machine learning engineers to deliver high-impact solutions.
• Build scalable AI innovations with foundation and infrastructure partners.
• Provide technical leadership to the team and drive cross-functional communication.

Requirements

• 4+ years of industry experience in system design, development, and algorithm-related solutions.
• 4+ years of coding experience utilizing programming languages such as Java, Python, or Scala.
• 4+ years of experience with data engineering, data infrastructure, and/or machine learning.
• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.

Nice-to-haves

• 7+ years of relevant industry experience.
• Hands-on experience building a large-scale online recommender system from end to end.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and deep learning models.
• General experience with the training and deployment of ML models.
• Hands-on experience with writing CUDA code and knowledge of GPU internals.
• MS or PhD in Computer Science or related technical discipline.
• Experience with distributed systems development or distributed ML workloads.

Benefits

• Generous health and wellness programs.
• Time away for employees of all levels.
• Annual performance bonus.
• Stock options and other applicable incentive compensation plans.