Staff Software Engineer

3 days ago


Sunnyvale, California, United States LinkedIn Full time
Job Title: Staff Software Engineer

At LinkedIn, we're committed to creating economic opportunity for every member of the global workforce. As a Staff Software Engineer on our GAI Platform & Tooling team, you'll play a critical role in developing the platform and tools necessary to tackle the complex challenges of GAI evaluation.

Responsibilities:
  • Collaborate with leadership on team strategy for GAI evaluation
  • Work with a team of backend engineers, front-end engineers, and UX/UI designers to develop the platform/tool for GAI evaluation, including integration with our auto-evaluation framework
  • Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs
  • Stay updated on emerging technologies and incorporate them into our work
Requirements:
  • Bachelor's degree in Computer Science or related technical field, or equivalent technical experience
  • 4+ years of industry experience designing and building enterprise-grade applications
  • 4+ years of experience with object-oriented programming (Java, Python, etc.)
Preferred Qualifications:
  • 8+ years of industry experience, including prior work building platforms/tooling for large-scale data
  • Master's degree in Computer Science, Engineering, or a related field
  • Prior experience building applications in the machine learning or AI domain
  • Strong communication skills, including the ability to explain technical concepts clearly to both technical and non-technical stakeholders
What You'll Get:
  • Competitive salary range: $175,000 - $235,000
  • Annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans
  • Generous health and wellness programs and time away for employees of all levels

We're committed to diversity in our workforce and are proud to be an equal opportunity employer. We 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.


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