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Staff Software Engineer - GAI Platform & Tools (Applications)



Software Engineering, IT
Los Angeles, CA, USA · Sunnyvale, CA, USA
Posted on Thursday, June 13, 2024

Staff Engineer, GAI Platform & Tooling (Applications)

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.


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

Team Overview:

This role is within the Foundational AI organization (FAIT) at our company. Our organization is dedicated to addressing the most challenging AI foundational problems encountered in our business operations. Generative AI (GAI) has been instrumental in transforming user experiences and driving platform innovation at LinkedIn. GAI evaluation is crucial for ensuring quality control and fostering user trust in our GAI products. As we forge ahead, we are embarking on new endeavors to develop the platform and tools necessary to tackle the complex challenges of GAI evaluation.

Responsibilities include:

  • Collaborating with leadership on team strategy for GAI evaluation
  • Working 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.
  • Providing technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
  • Staying updated on emerging technologies and incorporating them into our work.

Basic Qualifications:

  • 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, and the ability to bring together multiple types of engineers (Front End, Back End, UI/UX, etc.).
  • Leadership skills demonstrated by mentoring and providing technical guidance to a team.

Suggested Skills:

  • Technical Leadership
  • Full Stack Software Engineering
  • Software Design & Architecture

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.



LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $235,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers 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. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice