AI / ML Engineering Intern
3 weeks ago
Title: AI / ML Engineering Intern
Location: Eagle, ID
About Lamb Weston
We love making fries almost as much as you like eating them Since the 1950's, Lamb Weston has inspired customers with food they love, trust, and share with families and friends. As a leading global manufacturer of quality frozen potato products with over 10,000+ team members around the world, it's our business to see the possibilities in potatoes and people.
We are looking for team members with an appetite for a challenge People who are hungry to join a winning team and help us make a difference in the world. When you join Lamb Weston, you join a community with a strong support network and training programs designed to nurture, inspire, and help you grow.
We are driven by a relentless pursuit of results and by people who think creatively and embrace our values of: Integrity, Teamwork, Inclusion, Drive for Results, and Empowerment. Exactly what you'd expect from the most inventive potato company in the world
Join Lamb Weston We bring the world together with our fries.
Job Description Summary
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 (actual dates may vary)
- 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
- 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
Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Some of the most attractive elements of our benefit programs include:
- Health Insurance Benefits - Medical, Dental, Vision
- Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
- Well-being programs including companywide events and a wellness incentive program
- Paid Time Off
- Financial Wellness - Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
- Family-Friendly Employee events
- Employee Assistance Program services - mental health and other concierge type services
Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.
Job Requisition ID: Req-256308
Time Type: Full time
Anticipated Close Date: 02/10/2025
In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate's work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable hourly estimate for this role based on the variables previously mentioned is: $22.00
Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law
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