Senior Software Development Engineer ( Machine Learning)

Job Title: Senior Software Development Engineer (Machine learning)

About Media.net:

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 1,300+ employees, with key operations across North America, Europe, and Asia. Our US headquarters is in New York, and our global headquarters is in Dubai. Across 50+ demand partners, 21K+ publishers, and a growing portfolio of products and services, we take great pride in driving trusted, transparent, and scalable results

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What You’ll Do

• 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 insights and power intelligent decision-making in real-time environments.
• Build and maintain scalable ML systems that integrate deeply into our bidding, targeting, and ad optimization engines.
• Collaborate closely with product, data, and engineering teams to deploy models in a fast-paced, experimentation-heavy environment.
• Own your models end-to-end: from research and prototyping to deployment and performance monitoring.
• Combine deep technical rigor with a broad understanding of system-level impact to make high-quality architectural decisions.

What You Bring

• Proven 5 - 7 years of experience in GenAI (LLMs, transformers, diffusion, etc.) and predictive ML models (XGBoost, deep learning, time series, etc.).
• Strong proficiency in Python, PyTorch or TensorFlow, and experience with data engineering for ML (Spark, Pandas, etc.).
• Expertise in handling large-scale datasets (terabytes+) in distributed computing environments.
• Deep understanding of ML lifecycle, model deployment, and MLOps best practices.
• A startup mindset: bias for action, comfort with ambiguity, and ability to thrive under rapid iteration cycles.
• Bachelor's, Master’s, or Ph.D. in CS, Data Science, or related field.

Nice to Have

• Experience with real-time systems, ad exchanges, DSPs, or programmatic advertising.
• Contributions to open-source ML projects or published research in GenAI or related areas.

Why Join Us

• Work on real-world GenAI and ML challenges that move millions of dollars in ad revenue.
• Collaborate with a tight-knit, elite engineering team solving meaningful problems at scale.
• Enjoy high ownership, fast iterations, and freedom to innovate.