The Opportunity

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

· Predicting CTRs and revenue across millions of unique URLs and topics in real-time.

· Solving cold-start problems with sparse data using explore-exploit frameworks.

· Matching contextual and behavioral data for enhanced user targeting.

· Designing real-time bidding systems that optimize for revenue and win rate.

· Leveraging LLMs/NLP to extract intent and context from web content.

Tech Stack You'll Work With

· Languages: Python, Java, Node.js

· ML/Big Data: Apache Spark, Hadoop, TensorFlow/PyTorch, Kafka

· Databases: SQL, MongoDB, Redis, Elasticsearch

· Cloud: GCP or similar

What We're Looking For

· 3–6 years of hands-on experience in software development and ML engineering.

· Strong programming and debugging skills, preferably in Python and Java.

· Experience building and deploying ML models in production environments.

· Solid understanding of ML algorithms (e.g., decision trees, gradient boosting, deep learning).

· Hands-on experience with large-scale data processing tools (e.g., Spark, Hadoop).

· Ability to design low-latency, high-throughput systems.

· Strong problem-solving and analytical skills.

Bonus Points

· Prior experience with ad tech, recommender systems, or real-time bidding.

· Publications or contributions to ML research or open-source projects.

· Experience with NLP, LLMs, or Information Retrieval.

· Exposure to auction theory or game-theoretic modeling.

Why Join Us?

· Work on high-impact problems that power ad delivery at scale.

· Flexible work hours, modern office spaces, and supportive teams.

· Full-stack ownership and end-to-end involvement in projects.

· Culture that values innovation, autonomy, and deep tech.