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Job details:
About The Company
Media.net is a leading global ad tech company, building innovative products and solutions for advertisers and publishers. Media.net creates the most transparent and efficient path for ad budgets to become publisher revenue, while delivering meaningful value to advertisers, publishers, app developers, and end users across the open web.
We are one of the world’s largest independent contextual advertising businesses, with one of the industry’s most comprehensive advertising technology portfolios. Media.net powers major publishers and ad-tech platforms across formats, including display, video, mobile, native, search, and local. Our platform manages high-quality ad supply across 500,000+ websites and is licensed by the biggest publishers, ad networks, and technology partners worldwide.
Beyond our core advertising business, Media.net also operates at scale in performance-driven consumer acquisition, app development and distribution, and strategic technology investments. These efforts are supported by one of the world’s largest independent software development engines, enabling us to innovate rapidly and build products used across global markets.
Media.net is home to over 1,300 employees, with key operations across North America, Europe, and Asia. Our US headquarters is located in New York, and our global headquarters is in Dubai. Through partnerships with more than 50 demand partners, over 21,000 publishers, and a growing portfolio of products and services, we are committed to delivering trusted, transparent, and scalable results.
About The Role
We are seeking a highly skilled Senior Software Development Engineer specializing in Machine Learning, particularly in Generative AI (GenAI) and predictive models. In this role, you will be instrumental in designing, developing, and deploying advanced machine learning models to enhance Media.net’s advertising technology platform. Your expertise will directly impact real-time decision-making processes related to bidding, targeting, and ad optimization, driving efficiency and revenue growth.
This position offers an exciting opportunity to work on cutting-edge AI solutions within a fast-paced, innovation-driven environment. You will collaborate closely with cross-functional teams, including product managers, data scientists, and engineers, to translate complex research into scalable, production-ready systems. Your contributions will help shape the future of AI-powered advertising, ensuring Media.net remains at the forefront of the industry.
The ideal candidate will have a strong technical background, extensive experience with large-scale data processing, and a passion for developing innovative AI solutions that address real-world challenges in the advertising ecosystem.
Qualifications
Proven 5 to 7 years of experience in Generative AI (LLMs, transformers, diffusion models) and predictive machine learning models (XGBoost, deep learning, time series analysis). Demonstrated expertise in developing, deploying, and maintaining machine learning models in production environments.
Strong proficiency in Python, with hands-on experience using frameworks such as PyTorch or TensorFlow. Familiarity with data engineering tools and techniques, including Spark, Pandas, and distributed computing systems, is essential.
Experience handling large-scale datasets (terabytes or more) within distributed environments. Deep understanding of the complete ML lifecycle, including data preprocessing, model training, deployment, and monitoring, along with MLOps best practices.
Ability to operate with a startup mindset—taking initiative, thriving in ambiguous situations, and iterating rapidly to deliver results. A Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, or a related field is required.
Responsibilities
- Design and implement state-of-the-art Generative AI models and predictive machine learning pipelines tailored to AdTech applications.
- Analyze and process large-scale datasets to extract actionable insights and enable real-time intelligent decision-making.
- Build and maintain scalable ML systems that integrate seamlessly into bidding, targeting, and ad optimization engines.
- Collaborate closely with product, data, and engineering teams to deploy models efficiently in fast-paced, experimentation-heavy environments.
- Take ownership of models throughout their lifecycle—from research and prototyping to deployment and ongoing performance monitoring.
- Make high-quality architectural decisions by combining deep technical expertise with a broad understanding of system-level impacts.
Benefits
Join Media.net and work on impactful projects that influence millions of dollars in ad revenue through advanced GenAI and ML solutions. Be part of a dedicated, elite engineering team committed to solving meaningful problems at scale. Enjoy a dynamic work environment that promotes high ownership, rapid iterations, and the freedom to innovate. We offer competitive compensation packages, comprehensive health benefits, and opportunities for professional growth and development. Our collaborative culture fosters se continuous learning and encourages employees to contribute ideas that shape the future of advertising technology.
Equal Opportunity
Media.net is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse teams drive innovation and are essential to our success. We welcome applicants from all backgrounds to join us in building the future of ad tech.
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