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.
Life At Cognitiv
Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE:
- Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture.
- Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success.
- Inclusiv - Diversity and inclusion are more than just words to us—they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected.
- Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn.
- Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed.
- Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success.
We are seeking a Senior Manager or Director of Machine Learning Research Science with a strong background in leading advanced deep learning projects, feature enhancement, and Large Language Model (LLM) integration. In this role, you will lead and mentor a team of seasoned adtech research scientists, driving the advancement of real-time bidding (RTB) algorithms and the incorporation of LLM technology into our adtech solutions. You will oversee the development and optimization of robust, end-to-end training pipelines, enhance our algorithmic strategies, and ensure the successful implementation of innovative technologies that revolutionize feature capabilities and model architectures within the adtech industry. Additionally, you will maintain a hands-on approach, actively participating in code reviews and contributing directly to the technical development of your team members. If you are passionate about leading a dynamic team in a fast-paced environment and eager to tackle complex challenges in adtech, we invite you to join our team of experts in this transformative managerial role.
This position will be located in San Mateo, CA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
