Staff Software Engineer, Machine Learning

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

This role will be based in Seattle, WA or Sunnyvale, CA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.

This is a full-time engineering role based in Sunnyvale, CA or Seattle, WA. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.

As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.

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 • Build scalable AI innovations with foundation and infra partners

Basic Qualifications: • 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.

Preferred Qualifications: • 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

Suggested Skills: • Experience leading engineers to tackle a large-scale AI problem • Strong technical background & Strategic thinking • Experience in Machine Learning, Big Data and Deep Learning

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.