NYC Sr. AI Engineer: Assets, Formats & Placements

Responsibilities

• 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.
• Job Description
• 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.
• 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

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
• 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.
• Suggested Skills
• Experience in Machine Learning and Deep Learning
• Experience in Big Data
• Strong technical background & Strategic thinking
• Experience in GAI and/or LLMs
• You will Benefit from our Culture

Benefits

Additional Information

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.

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