AI Research Scientist

UPS • Peachtree Corners, GA

2d

About The Position

The Robotics AI Lab (RAIL) at UPS is at the forefront of AI research and development, creating innovative solutions to revolutionize the future of delivery. RAIL is seeking a highly skilled and passionate AI/ML Scientist with a strong research or engineering background to join our dynamic team. This role is central to developing and deploying transformative AI solutions, with a significant emphasis on Generative AI applications for our operational systems. You will leverage your expertise in AI/ML, data engineering, and MLOps to tackle complex, large-scale problems that directly impact the efficiency and future of global logistics.

Requirements

• Experience: 2+ years of industry or research experience directly related to AI/ML and Data Science.
• Proficiency in Python programming, with experience using relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Demonstrated experience with large-scale data engineering principles and practices.
• Familiarity with MLOps principles and practices for deploying and managing ML models in production.
• Familiarity with Generative AI or Agentic AI
• Experience with cloud platforms, specifically Google Cloud (GCP).
• Education: Advanced degree (Master or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.

Responsibilities

• AI/ML Model Development: Design, build, and optimize advanced forecasting and prediction ML models that drive critical business decisions and operational efficiencies.
• Strategic Data Analysis: Conduct comprehensive, large-scale data analysis to uncover actionable insights, identify new product opportunities, and enhance existing solutions.
• Innovative Problem Solving: Develop, validate, and implement novel methodologies to address complex, open-ended challenges within our unique logistics environment.
• Cross-Functional Collaboration: Partner closely with engineering, product, and operational teams to brainstorm new ideas, design robust systems, and ensure seamless deployment and performance validation of AI solutions.
• Generative AI Product Development Collaboration: Working with Generative AI team to build the Agentic AI application.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees