Summer AI/ML Product Development Intern

DIRECTV; Portland (ME); On-site; USD 34,000 - 47,000; Part time

Job summary

DIRECTV’s Summer Internship in Business AI/ML offers hands-on experience in developing tools for the customer experience. Based in Clarksburg, MD, you will tackle real-world problems within the Product Development organization, including AI-powered video solutions for the commercial market.

Duration is 10 weeks, with in-person work in MD; you will prototype models, evaluate algorithms, and build dashboards using Python, PyTorch/TF, and OpenAI API. Full U.S.

Qualifications

• Students pursuing a four-year undergraduate or advanced degree in Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or Data Science.
• Required: Proficiency in Python and its ML ecosystem (NumPy and pandas), with the ability to write reproducible training and evaluation scripts.
• Assist in selecting the appropriate machine learning approach (supervised, unsupervised, deep learning, or reinforcement learning) based on problem type and data availability
• Support the end-to-end model development lifecycle, including data collection, preprocessing, feature extraction and selection, training, and validation
• Build and benchmark baseline models in Python, including linear regression, decision trees, and support vector machines, for classification and regression tasks
• Operating Systems and tools: Linux and/or Android, Claude Code and OpenAI API
• Apply unsupervised learning techniques such as clustering, principal component analysis, and association rule mining to explore unlabeled datasets
• Identify and address overfitting and underfitting, applying bias-variance trade-off analysis during model tuning and selection
• Evaluate model performance using appropriate metrics (accuracy, precision, recall, mean squared error) and recommend evaluation criteria suited to the problem domain
• Experiment with ensemble methods (bagging, boosting, random forests) to improve prediction accuracy and generalization over single-model baselines
• Prototype deep learning architectures - CNNs for image data, RNNs for sequential data, and transformers for NLP - using PyTorch or TensorFlow
• Support experimentation with generative AI setups, including transformer-based language models and GANs for synthetic data generation
• Cross functional collaboration; Strong presentation skills

Responsibilities

• Develop artificial intelligence and machine learning tools
• Contribute to the development of an AI-powered media intelligence platform that analyzes live and recorded video content.
• Work with video metadata, closed captions, speech-to-text transcripts, and AI/ML models to identify topics, summarize content, detect relevant events, and enable natural-language search across video streams.
• Evaluating AI models, developing data-processing pipelines, experimenting with embeddings and semantic search, and building prototype tools or dashboards to demonstrate new media intelligence use cases.

Skills

Python

NumPy

pandas

ML scripting

Model selection

ML lifecycle

Baseline models

Cross-functional

Education

Undergraduate student in AI/CS/DS

Tools

Linux

Android

Claude Code

OpenAI API

PyTorch

TensorFlow

Job description

DIRECTV’s Summer Internship in Business AI/ML offers hands-on experience in developing tools for the customer experience. Based in Clarksburg, MD, you will tackle real-world problems within the Product Development organization, including AI-powered video solutions for the commercial market.

Duration is 10 weeks, with in-person work in MD; you will prototype models, evaluate algorithms, and build dashboards using Python, PyTorch/TF, and OpenAI API. Full U.S.