Generative AI & Machine Learning Engineering Intern (Summer 2027)

About our group:

In this highly visible role, you will work at the intersection of AI, language, and technology to help develop and optimize Large Language Model-based analytics solutions that streamline business operations, improve access to complex data and tools, and enable faster, better-informed decision-making.

About the role - you will:

· Be part of a product team of about 20 data scientists, machine learning engineers, and platform engineers focused on developing and maintaining agentic solutions & machine learning solutions and big data platforms.

· Develop and optimize LLM-based analytics and agentic solutions using commercial (e.g., Azure OpenAI) and open-source (e.g., Google Gemma, Qwen) models to transform business operations and streamline daily workflows.

· Drive seamless integration of LLM models with existing platforms and enterprise systems.

· Build and scale robust data connectors and knowledge bases for agentic systems.

· Design, architect, develop, and manage a state-of-the-art enterprise agentic AI platform to support scalable business solutions.

· Develop and implement agent governance and monitoring protocols to ensure secure, controlled, and reliable operation of agentic AI solutions for business.

· Collaborate with machine learning engineers to build scalable data pipelines and develop new machine learning models.

· Design and implement tools and processes across the MLOps lifecycle, including model development, deployment, serving, monitoring, and experimentation.

· Collaborate with data scientists, data engineers, and business subject matter experts to enhance the end-to-end analytics platform and supporting infrastructure.

About you:

· Detail oriented, well organized with solid time management skills, and you have solid effective verbal and written communications abilities as well

· Strong appetite for constant learning, thinking out of the box, and questioning problems & solutions with the intent to understand and solve in more creative ways

· Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Your experience includes:

· Proven hands-on or research experience in developing Natural Language Processing models

· Understanding of generative AI tools and techniques

· Strong background programming in Python

· Familiarity with SQL

· In depth knowledge and working experience on the various aspects of training and deployment of deep learning solutions in TensorFlow or PyTorch

· Strong understanding of machine learning algorithms & principles

· Currently pursuing Masters or PhD degree in Computer Science, Machine Learning Engineering, Statistics, or related fields and must be enrolled in Fall 2027 schooling.

Location:

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunchtime? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments, and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations, and community volunteer opportunities also abound.

The estimated base wage range for this position is $35.00-45.00/hr. The individual base wage is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan. Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave. The benefits for this position are based on a 24 to 40-hour-per-week schedule for a full calendar year and may differ depending on work location and tenure with the Company.

#internship

Location: Normandale, United States

Travel: None