Principal Staff AI Engineer, Ads AI

Team Overview: 

The Ads Audience and Identity team is responsible for the systems that power LinkedIns abilities to determine the identity of a visitor mine troves of activity data to present as a targetable audience and to balance retrieval against ranking at runtime. We operate at the intersection of machine learning systems (retrieval prediction identity graph) backend systems (LLMs streaming systems analytics) and product design (how to best present these options to an advertiser copilots). Together they power the experiences for advertisers to set up their ad targeting for us to convince them of the right targeting to use and to finally present what is unique about the audience we deliver to them. 

Location: 

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

This role will be based in Sunnyvale CA

Responsibilities:

As a Principal Engineer you will be setting the technical direction and foundation to build and own algorithms models systems and product experiences that power LinkedIns Audience and Identity tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML Infrastructure and Product Design to push the boundaries of our ads stack and meet the future needs of our B2B advertisers. You will closely work with product and engineering partners (at the level of Directors and Principal Engineers) to define and shape product and technical strategies for LinkedIns Ads business.
 

• Define and execute technical vision for applying AI and Data Systems to accelerate the teams roadmap which includes activity data mining using LLMs identity resolution using heterogeneous data sources ads retrieval at scale and advertiser workflows to build higher performing ads.

• Mentor and work with other Sr. Staff SWEs in the team to establish quality norms to build a culture of operational excellence and speed.

• Partner with Product Data Science and AI Research orgs to translate business goals into scalable AI-and-Data powered capabilities to improve the advertiser experience & ROI.

• Establish best practices for experimentation model evaluation and responsible AI.

• Provide architectural guidance and mentorship to up-level the engineering organization

• Work closely with and influence product and/or technology partners regularly to help define roadmap

Qualifications :

Basic Qualifications:
 

• 5 years as a Technical Leader (Staff Principal or similar) 

• 7 years of industry experience with Machine Learning AI Data Engineering or related solutions. 

• Bachelor of Science (or higher e.g. MS or PhD) in Computer Science or related technical field involving coding or equivalent technical experience.

Preferred Qualifications:

• 10 years of industry experience (AI Machine Learning Data Science or related) including prior experience working in the Tech or Product domain.

• Masters or PhD in Computer Science or a related discipline. 

• Strong experience in designing and optimizing AI solutions for multi-sided marketplaces such as Advertising and E-commerce.

• Experience in designing and optimizing recommender and/or search systems that create highly personalized experiences for LinkedIns members and scale to solve complex business problems

• Experience with deep learning LLMs graphs/graph mining ranking auction theory optimization.

• Expertise in Advertising Generative AI Information Retrieval Knowledge Graph Natural Language Processing Computer Vision techniques.

• Previous design and implementation of solutions in highly distributed environments.  

• Prior work designing and building scalable agentic systems.

Skills: 

• Technical Leadership

• AI Engineering 

• Enterprise ML Solutions
   

Additional Information :

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.

Compensation:

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $207000 to $340000. 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 additional information visit: Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 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 LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

No

Employment Type :

Full-time