Machine Learning Engineer (L2)

Are you ready to revolutionize the advertising industry?

At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.

With our innovative platform, advertisers enjoy unprecedented flexibility-whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.

Now, we're growing!

The Role

• We're seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv's ML infrastructure. As we transition from a legacy platform to a modern, automated, and highly scalable system, you'll play a key role in developing the tools and pipelines that power our Deep Learning Advertising Platform.
• You'll work across the full ML lifecycle - from data ingestion and model training to deployment and monitoring - helping to improve automation, reliability, and performance. This is a great opportunity for an engineer who's comfortable writing production-quality code and eager to grow their experience in large-scale ML systems, MLOps, and distributed data workflows.

What You'll Do

Tech Stack

Who You Are

Bonus Points If You Have

Location & Compensation

Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv-you'll also receive equity and a comprehensive benefits package.

Highlights include :

Salary : $130,000-$180,000 Base Salary + Equity >

Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.