Machine Learning Engineer, PhD Intern Internship

Job Responsibilities

• Query Understanding: Utilize NLP technologies to interpret user query intent.
• Search Relevance and Ranking: Enhance search results by integrating signals from diverse sources.
• Ads Quality and pCTR: Improve advertising revenue and Return on Ad Spend (ROAS).
• Knowledge Graphs: Manage graph data, facilitate knowledge discovery, and develop natural language interfaces.
• Fraud Detection and Prevention: Implement cost-sensitive learning techniques to mitigate losses.
• Pricing: Assess willingness-to-pay, optimize revenue, and enhance user experience.
• Logistics Optimization: Improve supply/demand forecasting, last mile delivery, and in-store efficiency.

Requirements

• Minimum Qualifications:
  • Currently pursuing a Ph.D. in computer science, mathematics, statistics, economics, or related fields.
  • Proficiency in Python, C++, and strong algorithmic skills.
  • Effective communication skills and a proactive, self-motivated approach to learning.
• Preferred Qualifications:
  • Ph.D. student at a top-tier university in the US or Canada.
  • Prior internship or work experience in machine learning.

Benefits

• Highly competitive compensation aligned with market standards.
• Remote work flexibility with options to work from home, office, or other preferred locations.
• Opportunities for community engagement through regular in-person events.
• Comprehensive benefits package tailored to each employee’s location.
• Opportunity to work on diverse and challenging problems with significant impact.