Cognitiv is seeking to revolutionize the advertising industry by integrating deep learning and Large Language Models (LLMs) into their advertising platform to enhance precision, relevance, and impact at scale.
Requirements
- Expertise in deep learning architectures (e.g., transformers) and frameworks (e.g., PyTorch).
- Proficient in Python programming with strong software engineering principles, algorithms, and data structures.
- Strong understanding of traditional machine learning algorithms (e.g., XGBoost, PCA).
- Extensive experience with Large Language Models (LLMs).
- Knowledge of distributed computing, cloud platforms (e.g., AWS, GCP, Azure), and big data technologies (e.g., Hadoop, Spark).
- Hands-on experience in developing, deploying, and optimizing machine learning models in production environments.
- Prior experience in AdTech and RTB systems.
Responsibilities
- 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.
- 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.
- Maintain a hands-on approach, actively participating in code reviews and contributing directly to the technical development of your team members.
- Oversee the design and implementation of cutting-edge deep learning architectures to drive innovation and performance improvements in our adtech solutions.
- Stay abreast of the latest LLM research and guide the integration of new findings into Cognitiv’s adtech solutions.
- Collaborate with operations, engineering, and cross-functional teams to refine data pipelines, model deployment, and monitoring systems.
- Ensure the continuous enhancement of machine learning models and algorithms for improved ad targeting, real-time bidding efficacy, and audience relevance.
Other
- Lead and manage a team of Machine Learning Research Scientists, fostering a collaborative and innovative research environment.
- Define and execute the strategic vision for machine learning research initiatives within the adtech domain.
- Manage project timelines, resources, and deliverables to ensure successful completion of research projects.
- Represent the machine learning research team in strategic discussions and contribute to company-wide initiatives.
- Mentor and develop team members, providing guidance on technical challenges and supporting career growth
