Staff Engineer

19 hours ago


Sunnyvale, California, United States LinkedIn Full time
About the Role

We are seeking a highly skilled Staff Engineer to join our Machine Learning team at LinkedIn. As a Staff Engineer, you will be responsible for developing and training cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations.

Responsibilities
  • Work with large datasets, crunching millions of samples for statistical modeling, data mining, and recommendation solutions
  • Write production-quality code and influence the next generation of LinkedIn's systems
  • Collaborate with multiple machine learning engineers to deliver impact on LinkedIn's newsfeed
  • Build scalable AI innovations with foundation and infrastructure 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 of experience in programming languages such as Java, Python, etc.
  • 4+ years of experience with machine learning, data mining, and information retrieval or natural language processing
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
What We Offer

We offer a competitive salary range of $164,000-$268,000, annual performance bonus, stock, benefits, and other applicable incentive compensation plans. We are committed to fair and equitable compensation practices and consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We are an equal opportunity employer and are committed to diversity in our workforce. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, please connect with us at [insert contact information].


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