Machine Learning Engineer

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

A Little About Us

The Media Platform team supports all Yahoo verticals in developing and delivering the best products to our customers globally with the highest standards. The Media Platform team is focused on enabling the company to build world-class products by creating and supporting services leveraged by multiple verticals. Our team operates with tenets that emphasize building a modern competitive platform regarding service, cost, and capabilities, ensuring services can be self-served, and supporting multiple verticals. 

A Lot About You

We are looking for a motivated and curious Machine Learning Engineer (ML II) with an enthusiasm for building and integrating machine learning solutions. In this role, you’ll work alongside experienced ML engineers, data scientists, and product teams to support the development and deployment of intelligent systems that power recommendations, content understanding, and personalization features.

The ideal candidate brings strong software engineering fundamentals, an interest in machine learning technologies, and a collaborative spirit. You will help translate business and user needs into scalable technical components and contribute to the lifecycle of ML-powered features in production.

Responsibilities

• Contribute to the development and maintenance of machine learning systems focused on recommendation, ranking, and content enrichment.

• Support integration of ML models into backend services, collaborating with data scientists and senior engineers.

• Build and maintain data pipelines and services that enable training, testing, and deployment of ML models.

• Monitor production model performance and assist in debugging issues across the stack.

• Contribute to the adoption of MLOps practices to ensure model reliability, traceability, and scalability.

• Collaborate with cross-functional teams to understand product requirements and deliver solutions aligned with business goals.

Required Skills & Experience

• Education: Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, Statistics, or a related field.

• 3–5 years of software engineering experience, preferably including ML or data-oriented systems.

• Solid programming skills in Python or Java.

• Exposure to machine learning tools and frameworks such as Scikit-learn, TensorFlow, or PyTorch.

• Exposure to distributed data processing systems such as Apache Flink, Beam, Spark, or Storm.

• Experience working with cloud platforms (AWS, GCP).

• Familiarity with CI/CD pipelines and version control practices.

• Understanding of fundamental ML concepts such as classification, recommendation, and basic NLP techniques.

• Eagerness to learn, contribute to production systems, and grow in a cross-functional ML engineering team.

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 $111,000.00 - $231,250.00/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.