Internship – Artificial Intelligence at A.P. Moller - Maersk

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

30.0

Posted On

17 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Computer Vision, SQL, PyTorch, TensorFlow, OpenCV, PowerBI, Data Engineering, Git, Pandas, NumPy, Scikit-learn, API Integration, Predictive Maintenance, Anomaly Detection

Industry

Logistics;Transportation;Supply Chain and Storage

Description

APM Terminals PURPOSE The AI & Machine Intelligence Intern supports the Operations Intelligence and Optimization team by assisting in the development and implementation of artificial intelligence initiatives focused on computer vision, equipment performance analytics, and predictive maintenance within an automated terminal environment. Working under the guidance of the Data Engineer, Operations Intelligence and Optimization (within the APMT Pier 400 Data and Optimization Department), the intern will contribute to data science and software development projects that leverage machine learning, automation data, and advanced analytics to improve operational efficiency, equipment reliability, and decision-making. This role provides hands-on experience with real-world industrial AI applications, including automated equipment monitoring, image/video analysis, and performance prediction modeling. PRINCIPAL RESPONSIBILITIES AI & Machine Learning Development • Assist in designing, developing, and testing machine learning models focused on: Computer vision applications for automated equipment monitoring Equipment health monitoring and predictive maintenance Operational performance classification and anomaly detection • Support model training, validation, and evaluation using structured and unstructured operational data. • Assist with data labeling, preprocessing, and feature engineering for machine learning workflows. • Contribute to experimentation and prototyping of AI-based proof-of-concept solutions. Computer Vision & Sensor Data Integration Support ingestion and preparation of video, image, and sensor datasets from automated terminal equipment. Assist in developing pipelines for processing machine-generated data from PLC, MQTT, and other industrial data sources. Participate in building and testing computer vision solutions utilizing modern frameworks (e.g., OpenCV, PyTorch, TensorFlow, or similar). Support development of visual analytics and monitoring dashboards showcasing AI insights. Data Engineering & Analytics Support Assist in building visualizations and performance reporting tools using business intelligence platforms (PowerBI). Assist in developing data pipelines and workflows supporting AI and analytics initiatives. Support database queries, data transformation, and exploratory data analysis using SQL and Python. Help document data sources, data models, and AI experimentation results. Collaboration & Innovation Work alongside optimization, automation, data, and operational teams to understand business use cases and equipment behavior. Participate in brainstorming and research initiatives for emerging AI technologies applicable to terminal operations. Present project updates, findings, and recommendations to technical and operational stakeholders. Support knowledge sharing and documentation for AI initiative scalability. CRITICAL QUALIFICATIONS / SKILLS / EXPERIENCE Education Currently pursuing a Bachelor’s or Master’s degree in: Computer Science Data Science Artificial Intelligence Robotics Electrical Engineering Industrial Engineering Or a related technical field Technical Skills Experience with Python and common data science libraries (NumPy, Pandas, Scikit-learn, etc.) Familiarity with machine learning and/or deep learning frameworks (PyTorch, TensorFlow, or similar) Exposure to computer vision concepts or tools (OpenCV, image classification, object detection, etc.) Basic SQL and data analysis experience Familiarity with Git or version control practices Experience working with APIs and data ingestion workflows Exposure to cloud platforms (Fabric preferred), containerization, or deployment workflows is a plus Preferred Experience Coursework or project experience in AI, machine learning, or computer vision Experience working with time-series or sensor data Familiarity with industrial automation, robotics, or IoT data environments is a plus Interest in logistics, transportation, or automated equipment systems Professional Competencies Strong analytical and problem-solving skills Demonstrated curiosity and willingness to learn new technologies Ability to communicate technical findings clearly Strong organizational and documentation skills Ability to work collaboratively within cross-functional teams Self-driven with strong attention to detail Work Schedule: Interns will work part-time, flexible hours during the summer. No overtime. FLSA Status: Hourly Non-Exempt Location: 2500 Navy Way, Terminal Island, CA 90731 Hourly Rate: $25-$30 per hour Notice to applicants applying to positions in the United States Applicants must be authorized to work for any employer in the U.S. APM Terminals is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities who are applying for positions in the U.S. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law. If you are interested in applying for employment with APM Terminals in the U.S. and need special assistance or an accommodation to use our website or to apply for a position, or if you need a reasonable accommodation to perform a job, please contact the applicable Human Resources Department by emailing reasonableaccommodations@maersk.com. Determination on requests for reasonable accommodation are made on a case-by-case basis pursuant to an interactive dialogue between the applicant and the Company. #LI-POST #LI-DB1 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 100,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information click here. All the way.

Responsibilities

The intern will develop and implement AI initiatives focused on computer vision, equipment performance analytics, and predictive maintenance. They will support the creation of machine learning models and data pipelines to improve operational efficiency in an automated terminal environment.