Senior AI Engineer, Ads Ai

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

Were seeking a Senior AI Engineer to shape the next generation of AI-powered advertising. You will design build and productionize ML systems powering LinkedIns ad platform working end-to-end from problem formulation and data exploration to model training evaluation and deployment. Youll tackle challenges at the intersection of generative AI LLMs and large-scale ad systems alongside PMs data scientists and platform engineers.

What Youll 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.

Job Description

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.

LinkedIns 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

• 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 LinkedIns system
• Collaborate with 10 machine learning engineers to deliver impact on LinkedIn newsfeed
• Build scalable AI innovations with foundation and infra partners

Qualifications :

Basic Qualifications

• 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

Preferred Qualifications

• 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

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 $139000 - $229000. 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  Information :

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No

Employment Type :

Full-time