Senior Staff AI Engineer (Human Intelligence, Annotation, Localization and Operations)
Company Overview:
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.
Team Overview:
In this role, you will be a core member of LinkedIn’s CORE AI team and will partner closely with other verticals in Data and AI organization and other Product teams. You’ll be driving and managing all data curation and annotation efforts across LinkedIn. You’ll be at the forefront of transforming how we evaluate our most cutting-edge AI based products leveraging LLMs to enhance our processes. You will oversee the development and improvement of the tools and platforms that support these activities.
Success in this role hinges on building strong partnerships. You’ll work closely with teams across the company, ensuring their data requirements are met swiftly and effectively. Your vision, leadership, and strategic mindset will be critical as we push the boundaries of what’s possible.
Location:
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 role will be based in Sunnyvale, CA.
Responsibilities:
- Work with large-scale data to build systems which will leverage and support new techniques for evaluating AI based products
multi-task learning, transfer learning, content understanding, deep learning, entity embedding and algorithms to optimize member experience.
- Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects.
- Hold the team to a high ML craftsmanship bar and actively reduce ML tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
- Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience.
- Bring together industry research and develop opportunities to contribute back to industry research
Basic Qualifications:
- 5+ years of industry experience in software design, development, and algorithm related solutions
- 2+ years in a Lead, Staff, Principal, Architect, or similar technical Leadership position.
- BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience
- Experience with Machine Learning or Recommendation Systems
Preferred Qualifications
- 10+ years of experience, including extensive work with leading solutions related to evaluation of complex systems, AI/Machine Learning and/or experimentation
- Masters or PhD in Computer Science, Machine Learning, Statistics, Economics and related fields
- Background in one or more of the following areas: experimentation, large scale evaluations, machine learnings, deep learning, Large Language Models (LLM)
- Demonstrated ability to work with peers in engineering across teams to set technical directions
Suggested Skills:
Model Evaluation
AI Product Development
Technical Leadership
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 $233,000 - $315,000. 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
