Cognitiv is looking to revolutionize the advertising industry by leveraging deep learning technology and data science to transform how brands connect with their customers. The company aims to bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. The Machine Learning Engineer Intern will contribute to advancing real-time bidding (RTB) algorithms and improving ad targeting and bidding strategies within the AdTech landscape.
Requirements
- Strong coding skills in Python.
- Expertise in deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
- Knowledge of distributed computing, cloud platforms, and big data technologies.
- Proficiency in software engineering principles, algorithms, and data structures.
- Prior involvement in Recommendation System Research, particularly those who have developed or explored recommendation algorithms.
- Demonstrable Non-Academic Technical Experience, such as participation in hackathons, showcasing hands-on, innovative technical abilities outside traditional academic realms.
- Strong C++ programming skills are a significant advantage.
Responsibilities
- Innovate and refine advanced deep learning architectures, enhancing our machine learning models' efficacy and innovation, directly contributing to our mission in advancing real-time bidding (RTB) algorithms.
- Engage in proactive research on Large Language Models (LLM), applying insights to fortify our algorithms and elevate the precision of ad targeting and bidding strategies within the dynamic landscape of AdTech.
- Develop, test, and deploy sophisticated machine learning tools and methodologies, establishing and following top-tier coding and engineering standards.
- Focus on creating robust training, deployment, and monitoring pipelines to solve intricate AdTech challenges, thus elevating model performance and scalability.
- Collaborate and communicate effectively across diverse teams within the organization, translating complex ML concepts into actionable strategies.
Other
- Currently working towards earning a BS or MS in Computer Science or a related technical field
- Exceptional problem-solving capabilities and excellent communication skills, fostering effective teamwork.
- Distinguished achievements in Computer Science or Mathematics Competitions, highlighting exceptional problem-solving skills.
- Proficiency with at least one modern front-end framework (e.g., React, Vue) and its ecosystem (JavaScript/TypeScript, HTML5).
- Fall internship, open for a hybrid work schedule of 3 days in office (Mon/Tue/Wed) at our San Mateo, CA office or fully remote.
