Senior AI Engineer, Ads Ai

LinkedIn•New York, NY

12h•Hybrid

About The Position

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.

Requirements

BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
2+ years experience in software design, development, and algorithm related solutions.
2+ years experience in programming languages such as Java, Python, etc.
2+ years experience with machine learning, data mining, and information retrieval or natural language processing.

Nice To Haves

4+ years of relevant machine learning experience
MS or PhD in Computer Science or related technical discipline
Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
Experience with iterative, test-driven development.
Experience with configuration management (SVN, GIT, ant, maven, etc.).
Experience with developing and designing consumer-facing products.
Experience with Hadoop, Pig, or other MapReduce paradigms.
Knowledge of internals Lucene/SOLR or other information retrieval systems.
Published work in academic conferences or industry circles.
Experience in Machine Learning and Deep Learning
Experience in Big Data
Strong technical background & Strategic thinking
Experience in GAI and/or LLMs

Responsibilities

Design, train, and iterate on ML/AI models (incl. LLMs and deep learning) to improve creative generation, relevance, and performance.
Drive solutions from data/feature engineering through offline/online evaluation and production deployment.
Apply text/image/video generation to create compelling ad-creative variations that improve advertiser ROI.
Architect scalable, reliable ML pipelines and services that operate at LinkedIn scale.
Design and analyze A/B tests to measure impact on key business metrics.
Align on problems and deliver results with PM, Design, DS, and Backend partners.
Write clean, well-tested code, lead reviews, and contribute to engineering best practices.
Support growth of junior engineers; foster a learning culture.
Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions
Write production quality code and influence the next generation of LinkedIn's system
Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
Build scalable AI innovations with foundation and infra partners