Software Developer

About The Company

Media.net is a leading global ad tech company dedicated to developing innovative products and solutions for advertisers and publishers worldwide. Our mission is to create transparent and efficient pathways for ad budgets to convert into publisher revenue while delivering significant value to our clients, including advertisers, publishers, app developers, and end users across the open web. As one of the largest independent contextual advertising companies, Media.net boasts a comprehensive advertising technology portfolio that spans multiple formats such as display, video, mobile, native, search, and local advertising. Our platform manages high-quality ad supply across over 500,000 websites and is licensed by some of the biggest publishers, ad networks, and technology partners globally. With a global presence, our operations extend across North America, Europe, and Asia, supported by a talented workforce of over 1,300 employees. Our headquarters are located in Dubai, with a significant US presence in New York. Beyond advertising, Media.net operates in performance-driven consumer acquisition, app development, distribution, and strategic technology investments, driven by one of the world's largest independent software development engines. This enables rapid innovation and the development of products used across various international markets.

About The Role

We are seeking a highly skilled and motivated SDE II – Machine Learning to join our dynamic team in Bangalore. In this role, you will be a core contributor responsible for designing, building, and scaling machine learning systems that power our real-time advertising platforms. You will work on the full spectrum of ML development, from data engineering and model creation to deploying scalable solutions that operate efficiently in a high-volume environment. Collaborating closely with product managers, data scientists, and engineering teams, you will play a pivotal role in enhancing our ad targeting, bid optimization, and revenue prediction capabilities. Your work will directly impact the effectiveness and efficiency of our advertising ecosystem, ensuring that we continue to deliver innovative and scalable solutions to our clients worldwide.

Qualifications

• 3 to 6 years of hands-on experience in software development and machine learning engineering.
• Proficiency in programming languages such as Python and Java, with strong debugging skills.
• Experience in building, training, and deploying machine learning models in production environments.
• Solid understanding of machine learning algorithms including decision trees, gradient boosting, deep learning, and neural networks.
• Practical experience with large-scale data processing tools such as Apache Spark and Hadoop.
• Familiarity with ML frameworks like TensorFlow, PyTorch, and related tools.
• Ability to design low-latency, high-throughput systems capable of handling real-time data streams.
• Strong analytical and problem-solving skills with a focus on scalable system architecture.
• Experience working with databases such as SQL, MongoDB, Redis, and Elasticsearch.
• Knowledge of cloud platforms, preferably GCP or similar services.
  
  

Responsibilities

• Develop and deploy machine learning models for ranking, bid optimization, and click-through rate prediction to enhance ad performance.
• Design and implement scalable, fault-tolerant data pipelines and services that support real-time and batch ML workloads.
• Work with large volumes of structured and unstructured data to extract meaningful insights and patterns.
• Collaborate with data scientists to convert research prototypes into robust, production-ready systems.
• Build intelligent targeting systems that combine contextual and behavioral signals for more relevant ad delivery.
• Leverage large language models (LLMs) and NLP techniques to improve content understanding, user targeting, and ad relevance.
• Continuously experiment, monitor, and optimize models based on user feedback, system performance, and evolving data.
• Stay updated with the latest advancements in machine learning and data engineering to incorporate best practices into our systems.
  
  

Benefits

• Opportunity to work on high-impact projects that influence ad delivery at scale and shape the future of digital advertising technology.
• Competitive salary packages complemented by performance-based incentives.
• Flexible work hours and a modern, collaborative office environment in Bangalore.
• Supportive team culture that encourages innovation, continuous learning, and professional growth.
• Access to cutting-edge tools, technologies, and training resources to enhance your skills.
• Opportunities for career advancement within a global organization with diverse operational domains.
  
  

Equal Opportunity

Media.net is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, or disability. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to providing a supportive environment where everyone can thrive and succeed.