Staff Software Engineer, Machine Learning

$156,000 - $255,000/Yr

Unclassified - Sunnyvale, CA

Full-time - Mid Level

Remote - Sunnyvale, CA

About the position

The Staff Software Engineer, Machine Learning role at LinkedIn involves developing and implementing machine learning models and algorithms to enhance user experience through personalized recommendations. This position combines the responsibilities of both data/research scientists and software engineers, allowing for a comprehensive approach to machine learning projects from ideation to implementation. The role is based in Sunnyvale or San Francisco and offers a hybrid work option, promoting flexibility in work arrangements.

Responsibilities

• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions
• Write production quality code and influence the next generation of LinkedIn's system
• Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
• Build scalable AI innovations with foundation and infra partners

Requirements

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience
• 4+ years of industry experience in software design, development, and algorithm related solutions
• 4+ years experience programming languages such as Java, C/C++, Python, etc.

Nice-to-haves

• 6+ years of relevant machine learning experience
• MS or PhD in Computer Science or related technical discipline
• Experience with machine learning, optimization algorithms, deep-learning techniques
• Experience developing large scale systems
• Experience with Spark, Tensorflow and Java
• Previous leadership or mentorship experience is preferred
• 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, WWW, WSDM, and Patenting Innovations

Benefits

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