AI / ML Data Engineering Intern
Lamb Weston: AI / ML Engineering Intern
Location: Eagle, ID
Paid Internship & Relocation/Housing Assistance Provided (if qualified)
Internship Program Overview:
Participate in a paid internship program built around your career goals and hands-on projects that impact the organization. As part of the Lamb Weston University Recruiting Internship Program, Interns work towards completing a Capstone project and are assigned a mentor who will guide and evaluate performance. Whether you are interested in Agricultural Science, Data Science, Finance, Supply Chain, IT, Manufacturing, Food Science, Marketing, or Engineering, our highly selective summer intern program has projects that will help you build the next stage in your career.
- Paid internship (May - August)
- Gain real-world working experience through dynamic projects assigned by your mentor and assigned department
- Network and learn from executives, department leaders, high performers, and fellow interns across the business
- Receive guidance and feedback from your assigned mentor throughout the program
- Professional development events providing tools that will help after the internship and after graduation
Job Description
As an AI/ML Engineering Intern in our Digital Innovation Team, you will participate in the development of our next generation VisionAI Solution Stack. It sits at the heart of our Intelligent Sensing Strategy. Additionally, you will have the opportunity to work with a variety of related AI/ML efforts including our Intelligent Automation Strategy, as well as Lamb Weston’s GenerativeAI Strategy: Intelligent Interactions. The ideal candidate must have an insatiable appetite for technology, including Artificial Intelligence (AI) and Machine Learning (ML) activities.
Additionally, you must be familiar with Software Engineering patterns and practices with applicable experience coding in Python or C++ or other object-oriented languages. Experience with programing for VisionAI, Large Language Models (LLMs), and Neural Networks is preferred. Preference may be given to candidates that have experience with Applied Innovations like Robotics.
Duties & Responsibilities include:
- Manage a backlog of work items such as writing & developing code and testing & correcting bugs.
- Support and build solutions to meet challenging use cases.
- Work to develop and train a Machine Learning Model
- Create documentation and conduct Peer Code Reviews
- Collaboratively design and build Hardware Component Assembly
- Communicate effectively with all audiences, including senior leaders, in a structured manner
- May perform additional projects upon request
Basic and Preferred Qualifications
- Must be a current Senior, Master's or PhD student enrolled in a related program: Computer Science, Data Science, Robotics, Artificial Intelligence, Machine Learning, or related field
- Minimum GPA 3.0 preferred
- Valid U.S. driver’s license and ability to meet the Lamb Weston Authorized Driver standards
- An understanding of computer systems and processes to apply skills to support business integrations
- Familiarity with Python, C++, Cloud (AWS / Azure) or other languages is preferred
- Familiarity of PyTorch and related libraries
- Familiarity with Object Detection APIs, for example Detectron(2) or MMDetection
- DevOps and understanding CICD Pipeline is preferred
- Code Repository Management
- Understanding of Infrastructure as Code (IaC)
- Experience with Rasperry Pi or other discreet/embedded compute systems is preferred
- Excellent verbal and oral communication skills