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United States
Onsite
A Little About Us:
We are an industry leading direct to Consumer and Ad tech solution for advertisers and publishers. Our innovative Ad tech gives one stop access to Yahoo, inc. trusted data, high quality inventory and demand, creative ad experiences and industry-leading machine learning, at global scale. Consumer Monetization team’s charter is to Find, Evaluate, Build, and Scale new monetization, subscription and internal campaign tools and products, ad formats and functionalities across all Yahoo brands including Yahoo Homepage, Yahoo Sports, Yahoo Finance, and Yahoo News.This team is uniquely positioned to identify growth and revenue generation opportunities, design and implement solutions across consumer products and advertising platforms including video, display, native, and search.
As part of the Consumer Monetization Platform Engineering team, you will be working on data engineering pipelines and next-generation Machine Learning- and AI-based data infrastructure, supporting new functionalities on existing platforms, and mining data for analytics insights and product features
Our Big Data footprints are among the largest few in the world, at double-digit petabyte scale. Developing this infrastructure presents many technical challenges in the areas of efficient query processing, large-scale stream processing, machine learning and modeling, as well as satisfying complex business rules.
If you are someone who is enthusiastic about harnessing data at insane scale, enjoys working with new technologies, setting up petabyte data infrastructures, and implementing new machine learning solutions and metrics systems, we want to hear from you!
Improve our existing data infrastructures for machine learning and deep learning using your core expertise
Design and build unified, production-grade streaming and batch data pipelines that achieve full event coverage with near-real-time latency
Develop schema optimization and compression strategies for efficient large-scale data ingestion and storage
Build the data foundation for ML training pipelines—including feature engineering, real-time feature serving, and batch feature computation—that powers yield optimization and predictive analytics
Work with other engineers to implement algorithms and systems in an efficient way
Take end-to-end ownership of Machine Learning-based distributed data systems—from data pipelines and training, to real-time prediction engines
Develop complex queries, very large volume data pipelines, and analytics applications
Develop complex queries and software programs to solve analytics and data mining problems
Build data quality monitoring systems, automated anomaly detection, and reconciliation processes for production-grade revenue operations
Interact with data analysts, data scientists, product managers, and software engineers to understand business problems and technical requirements to deliver data solutions
Prototype new metrics or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Maintenance and improvement of released systems
Engineering consulting on large and complex warehouse data
Leverage AI-assisted development tools (e.g., GitHub Copilot) to accelerate the design and implementation of complex distributed systems.
Basic Qualifications:
BS with 7+ years of relevant Industry experience/M.S. in Computer Science with 5+ years of relevant Industry experience. Computer Science graduate ideally with specialization in Data Engineering or Machine Learning
Strong fundamentals: algorithms, distributed computing, data structure, database
Fluency with at least one of: Go/Java/Python/C++/Scala/SQL
5+ years of industry experience on very large scale analytics or ML systems development
2+ years of experience with Google Cloud Platform (BiqQuery, Dataproc, Composer, Dataflow, BigTable, etc.)
2+ years of experience in Hadoop technologies (Map/Reduce, Pig, Hive, HBase, Spark, Kafka, Oozie, etc.)
Experience in data modeling, schema design, ETL, and data analysis
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations
Preferred Qualifications:
Experience with machine learning algorithms, NLP, and/or statistical methods a big plus
Experience in any of: machine learning, analytics, data mining, or data mart and warehouse
Experience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib)
Experience in ad tech, programmatic advertising, or publisher-side monetization platforms
Experience building data quality frameworks, automated reconciliation systems, and observability for data pipelines (OpenTelemetry)
Experience with privacy-enhancing technologies, data clean rooms, or identity resolution systems
Experience with prompt engineering or structured interaction with AI tools to automate data processing tasks.
The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.
At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.
The compensation for this position ranges from $120,750.00 - $251,250.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.Currently work for Yahoo? Please apply on our internal career site.