Machine Learning Engineer Intern

We are looking for a Machine Learning Engineer Intern to integrate into our high-performing Research Science group. This unique internship is designed for individuals eager to leverage their skills in crafting revolutionary deep learning solutions and refining our machine learning infrastructure. If you are passionate about propelling the technological boundaries in machine learning, crafting groundbreaking algorithms for multi-billion dollar markets, and thriving within a vibrant, forward-thinking atmosphere, your moment has arrived.

This position will be located in San Mateo with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

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
  
  
  

Requirements

• Actively pursuing a Ph.D. in Computer Science or a related quantitative/engineering discipline
• 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
• Exceptional problem-solving capabilities and excellent communication skills, fostering effective teamwork
  
  
  

Preferred Qualifications

• Prior involvement in Recommendation System Research, particularly those who have developed or explored recommendation algorithms
• Distinguished achievements in Computer Science or Mathematics Competitions, highlighting exceptional problem-solving skills
• 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
  
  
  

Salary

• $30-$32 per hour