VetJobs - The Leading Military Job Board

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 both hybrid or remote work options, 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, or this role can be performed remotely in most locations in the country of employment.

The mission of the Growth AI team is to help LinkedIn’s guests and members get value from LinkedIn, find communities to engage with, expand their network and professional knowledge, and grow their engagement with LinkedIn through all channels. This team is at the center of building high-quality and highly-scalable AI solutions to fuel LinkedIn’s future member and business growth. We develop cutting-edge AI technologies leveraging deep learning and large language models in our solutions, and support many areas of member engagement with LinkedIn including PYMK (people you may know), Follow recommendation, Notification ranking, Email personalization, etc, for more than 1 Billion members. We are closely partnering with many products, engineering and infrastructure teams to build the next generation AI-first product experience for our members.

As a Principal AI Engineer, you will be one of the overall technical leads of Growth AI, covering a broad area of member engagement AI solutions. You will guide the team on advancing state of the art machine learning algorithms to help build the next-gen AI models to power various growth pillars. You are expected to deliver significant AI-powered member experience improvement and have a direct impact on LinkedIn's top line metrics. You will closely work with product and engineering partners (at the level of Senior Directors+ and Principal Engineers+) to define and shape product and technical strategies for LinkedIn. You have the opportunity to directly influence LinkedIn’s senior leadership (including C-level executives) with your technical expertise. You will be able to work with other senior leaders and senior individual contributors across LinkedIn to shape the company’s culture and values. You are also highly encouraged to have a strong external presence and publish/present your innovation in top tier conferences and journals.

ResponsibilitiesDeliver impact by driving innovation while building and shipping software at scaleProvide architectural guidance and mentorship to up-level the engineering organizationActively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategiesDesign products/services/tools and code that can be used by others while upholding operational impact of all decisionsIdentify problems and opportunities and lead teams to architect, design, implement and operationalize systemsWork closely with and influence product and/or technology partners regularly to help define roadmapResolve conflicts between teams within the organization to get alignment and build team cultureReview others’ work and share knowledge

Basic QualificationsBA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions7+ years experience programming languages such as Java, C/C++, Python, etc. 5+ years in an architect or technical leadership position

Preferred QualificationsPh.D. in Computer Science, Machine Learning, Statistics or related fields12+ years’ experience in software design, development, and algorithm related solutions 7+ years in an architect or technical leadership position5+ years experience in Hadoop, Cosmos, Spark or MPI with solving big data problems5+ years experience in SparkML, TensorFlow, Caffe or PyTorch with solving AI problemsStrong academic credentials with publications in tier-1 journals and conferencesExperience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn’s members and scale to solve complex business problemsExperience in leading large scale development projects from concept to multiple releases in productionExperience of technical leadership guiding and mentoring top engineering and operations talentExperience leading high-impact, cross-company initiativesExperience with deep learning, LLMs, graphs/graph mining, SEO, or Social GrowthExpert in Search Engine, Information Extraction, Knowledge Graph, Natural Language Processing, Computer Vision techniquesDemonstrated ability to work with peers in engineering and product management across teams to set technical and product directions

Suggested Skills:Technical LeadershipMachine LearningAlgorithms

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $207,000 to $340,000. 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://lnkd.in/equalemploymentopportunity2017. 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