LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Ads AI Team Overview: Assets, Formats & Placements (AFP)
The AFP team defines how ad creatives are packaged and delivered across LinkedIn — evolving Assets (media, metadata, creative components), standardized Formats (single image, video, carousel, document, conversation), and Placements (feed, messaging surfaces, network apps, emerging surfaces). We partner closely with Ads AI, Measurement, and Serving to provide the schema, APIs, and delivery runtime that enable creative portability, policy compliance, and cross-surface quality — so advertisers can launch once and scale everywhere with predictable outcomes.
Role
We’re seeking a Senior AI Engineer to shape the next generation of AI-powered advertising. You will design, build, and productionize ML systems powering LinkedIn’s ad platform — working end-to-end from problem formulation and data exploration to model training, evaluation, and deployment. You’ll tackle challenges at the intersection of generative AI, LLMs, and large-scale ad systems alongside PMs, data scientists, and platform engineers.
What You’ll Do
Develop models: Design, train, and iterate on ML/AI models (incl. LLMs and deep learning) to improve creative generation, relevance, and performance.
Own the lifecycle: Drive solutions from data/feature engineering through offline/online evaluation and production deployment.
Advance generative AI: Apply text/image/video generation to create compelling ad-creative variations that improve advertiser ROI.
Design systems: Architect scalable, reliable ML pipelines and services that operate at LinkedIn scale.
Run experiments: Design and analyze A/B tests to measure impact on key business metrics.
Collaborate cross-functionally: Align on problems and deliver results with PM, Design, DS, and Backend partners.
Raise the bar: Write clean, well-tested code, lead reviews, and contribute to engineering best practices.
Mentor: Support growth of junior engineers; foster a learning culture.
This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. 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.
LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.
Responsibilities
Basic Qualifications
Preferred Qualifications
Suggested Skills
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 $139,000 - $229,000. 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
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.
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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:
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.
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: https://lnkd.in/paytransparency.
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Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
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