Machine Learning Engineer II

SDE II – Machine Learning

Location : Bangalore

Experience : 3–6 years

About Media.Net

Media.Net is a global leader in ad tech, powering billions of ad impressions across web and mobile formats. Our proprietary contextual advertising and machine learning technologies serve major global publishers and advertisers.

We focus on building intelligent systems that solve complex optimization and targeting problems at scale. If you thrive in a fast-paced, data-driven environment and are excited to work on products that impact millions of users daily, Media.Net is the place for you.

Role Overview

As an SDE II – Machine Learning, you will be a core contributor in designing, building, and scaling ML-driven systems that power our real-time ad platforms. You'll be responsible for full-stack ML development—from data engineering and model development to scalable deployment—working closely with product, data science, and engineering teams.

What You'll Do

• Build and deploy machine learning models for ranking, bid optimization, and click-through rate prediction.
• Design scalable and fault-tolerant data pipelines and services that serve real-time and batch ML workloads.
• Work with large volumes of structured and unstructured data to extract meaningful patterns.
• Collaborate with data scientists to convert prototypes into production-ready systems.
• Build systems to intelligently target ads and content by combining contextual and behavioral signals.
• Use LLM learning to improve ad relevance, page understanding, and user targeting.
• Continuously experiment and optimize models based on user feedback and system performance.

Some Interesting Challenges You'll Solve

Tech Stack You'll Work With

What We're Looking For

Bonus Points

Why Join Us?