Software Development Engineer II (Machine Learning)

Role Overview: As an SDE II Machine Learning at Media.Net, your role will involve being a core contributor in designing, building, and scaling ML-driven systems that power real-time ad platforms. You will have the responsibility of full-stack ML development, which includes data engineering, model development, and scalable deployment. Collaboration with product, data science, and engineering teams will be essential in this role. Key Responsibilities: - Build and deploy machine learning models for ranking, bid optimization, and click-through rate prediction. - Design scalable and fault-tolerant data pipelines and services for real-time and batch ML workloads. - Extract meaningful patterns from large volumes of structured and unstructured data. - Collaborate with data scientists to transition prototypes into production-ready systems. - Develop systems to intelligently target ads and content by merging contextual and behavioral signals. - Utilize LLM learning to enhance ad relevance, page understanding, and user targeting. - Continuously experiment and optimize models based on user feedback and system performance. Qualifications Required: - 36 years of hands-on experience in software development and ML engineering. - Strong programming and debugging skills, preferably in Python and Java. - Experience in building and deploying ML models in production environments. - Solid understanding of ML algorithms such as decision trees, gradient boosting, and deep learning. - Hands-on experience with large-scale data processing tools like Spark and Hadoop. - Ability to design low-latency, high-throughput systems. - Strong problem-solving and analytical skills. Additional Details about Media.Net: Media.Net is a leading global ad tech company that focuses on building innovative products and solutions for advertisers and publishers. The company offers a transparent and efficient path for ad budgets to generate publisher revenue while delivering value to various stakeholders across the open web. Media.Net operates across North America, Europe, and Asia with headquarters in New York and Dubai. The company prides itself on driving trusted, transparent, and scalable results through its platform that manages high-quality ad supply across numerous websites. 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 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 Media.Net - Work on high-impact problems that power ad delivery at scale. - Enjoy flexible work hours, modern office spaces, and supportive teams. - Experience full-stack ownership and end-to-end involvement in projects. - Be part of a culture that values innovation, autonomy, and deep tech. Role Overview: As an SDE II Machine Learning at Media.Net, your role will involve being a core contributor in designing, building, and scaling ML-driven systems that power real-time ad platforms. You will have the responsibility of full-stack ML development, which includes data engineering, model development, and scalable deployment. Collaboration with product, data science, and engineering teams will be essential in this role. Key Responsibilities: - Build and deploy machine learning models for ranking, bid optimization, and click-through rate prediction. - Design scalable and fault-tolerant data pipelines and services for real-time and batch ML workloads. - Extract meaningful patterns from large volumes of structured and unstructured data. - Collaborate with data scientists to transition prototypes into production-ready systems. - Develop systems to intelligently target ads and content by merging contextual and behavioral signals. - Utilize LLM learning to enhance ad relevance, page understanding, and user targeting. - Continuously experiment and optimize models based on user feedback and system performance. Qualifications Required: - 36 years of hands-on experience in software development and ML engineering. - Strong programming and debugging skills, preferably in Python and Java. - Experience in building and deploying ML models in production environments. - Solid understanding of ML algorithms such as decision trees, gradient boosting, and deep learning. - Hands-on experience with large-scale data processing tools like Spark and Hadoop. - Ability to design low-latency, high-throughput systems. - Strong problem-solving and analytical skills. Additional Details about Media.Net: Media.Net is a leading global ad tech company that focuses on building innovative products and solutions for advertisers and publishers. The company offers a transparent and efficient path for ad budgets to generate publisher r