Yahoo Search is one of the most highly-scaled applications on the planet, serving millions of users globally. Our AI and Optimization team is at the heart of this ecosystem, powering the understanding, orchestration, and generative AI engines that define modern search. We are reimaging the future of Search, moving beyond links to provide intelligent, guided experiences. We hire world-class engineers who thrive in collaborative environments and are committed to technical excellence and rapid innovation.
ResponsibilitiesModel Orchestration & Productionization: Partner with data scientists to transition research prototypes into high-performance backend services, leveraging AI-driven deployment pipelines to ensure seamless model integration.
Scalable Architecture: Design and operate high-throughput, low-latency APIs for Guided Search, applying AI-driven performance diagnostics to optimize system bottlenecks.
Lifecycle Ownership: Own the end-to-end serving lifecycle for ML-powered systems, from feature retrieval and online inference to automated monitoring and iteration.
Data Engineering: Build and maintain robust data pipelines using Spark/PySpark, implementing AI-augmented data validation to ensure consistency and freshness at scale.
Operational Excellence: Define and uphold production-readiness standards for scalability and fault tolerance in a distributed AWS environment.
Workflow Optimization: Identify and implement AI-driven efficiencies in the development lifecycle, utilizing AI pair-programming and automation to replace manual, repetitive engineering tasks.
Collaborative Leadership: Collaborate cross-functionally to translate product requirements into evolving backend architectures, acting as a lead for major portions of squad-level software solutions.
Instrumentation & Experimentation: Instrument services with advanced logging and metrics, using AI-assisted analysis to interpret A/B testing results and drive continuous improvement.
Bachelor’s or Master’s degree in Computer Science or a related field.
4+ years of professional experience building large-scale, highly scalable backend systems (IC4 level).
Strong programming skills in C++ and Python, with a focus on writing production-quality, performant code.
Experience designing and implementing backend APIs and services within service-oriented architectures.
Proficiency in AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate code generation, debugging, and system optimization.
Hands-on experience with large-scale data processing frameworks such as PySpark or Spark.
Experience integrating and operating machine learning models within high-QPS backend systems.
Experience developing and deploying services within AWS environments.
Experience with prompt engineering or structured interaction with LLMs to support generative AI feature development.
Commitment to staying current on emerging AI engineering tools and proactively suggesting improvements to the engineering workflow.
Knowledge of advanced performance tuning for distributed, cloud-based systems.
Experience leading small project workstreams or mentoring junior engineers in a collaborative environment.
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 $128,250.00 - $266,875.00/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.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



