Senior Machine Learning Engineer

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, AI, or a related field; or, equivalent experience.
• Experience: 5+ years of professional experience engineering and deploying production machine learning or data science systems at scale.
• Technical Proficiency: Proficient in Python or Java, with deep hands-on expertise in standard ML frameworks (PyTorch, TensorFlow, Hugging Face, Scikit-learn).
• Generative & Agentic AI: Demonstrated experience building LLM-based applications or agentic systems (multi-step reasoning, tool usage, RAG, or autonomous workflows).
• High-Performance Inference: Experience deploying and serving models in production using tools like vLLM, TensorRT-LLM, Triton Inference Server, or ONNX Runtime.
• Big Data Handling: Hands-on experience processing large datasets using Spark, Hadoop, or cloud-native data pipelines.
• Communication: Excellent verbal and written communication skills for effective collaboration with cross-functional and global engineering teams.
• Preferred Qualifications
• Cloud Infrastructure: Direct experience building and scaling ML pipelines on Google Cloud Platform (GCP) or similar native public cloud environments.
• Domain Expertise: Prior experience working with email systems, large-scale consumer web platforms, NLP, or search architecture.
• AI Tooling: Early adoption and proactive integration of modern developer tooling (Cursor, Claude, Codex) directly into daily development practices.
• 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.
• Currently work for Yahoo? Please apply on our internal career site.