DIRECTV for Business Product Development Intern

DIRECTV; Clarksburg (MD); On-site; USD 34,000 - 47,000; Full time

Job summary

DIRECTV is seeking a Summer Intern to support the Product Development organization by working on real-world problems related to the customer experience in Clarksburg, MD. You will join the AI/ML initiatives to develop tools for an AI-powered media intelligence platform analyzing video content.

The role involves data collection, model development, evaluation, and collaboration with cross-functional teams, with hands-on work on PyTorch/TensorFlow and OpenAI APIs.

Qualifications

• Pursuing a four-year undergraduate or advanced degree in Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or Data Science.
• 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 ML approach (supervised/unsupervised/deep learning/RL).
• Support end-to-end model development lifecycle: data collection, preprocessing, feature extraction/selection, training and validation.
• Build and benchmark baseline models in Python (linear regression, decision trees, SVM) for classification and regression tasks.
• OS and tools: Linux and/or Android; Claude Code and OpenAI API.
• Apply unsupervised techniques (clustering, PCA, association rules) to unlabeled data.
• Address overfitting and bias-variance trade-offs during model tuning.
• Evaluate model performance using metrics (accuracy, precision, recall, MSE).
• Explore ensemble methods (bagging, boosting, random forests).
• Prototype deep learning architectures (CNNs, RNNs, transformers) with PyTorch or TensorFlow.
• Experiment with generative AI setups including language models and GANs.

Responsibilities

• Develop AI/ML tools and an AI-powered media intelligence platform for video content analysis.
• Work with video metadata, captions, transcripts, and AI/ML models to enable natural-language search across video streams.
• Evaluate models, build data-processing pipelines, and prototype tools or dashboards for new media intelligence use cases.
• Collaborate cross-functionally and communicate effectively to present findings.

Skills

Python ML ecosystem

Training scripts

Model development lifecycle

Baseline models

PyTorch or TensorFlow

Presentation skills

Data science problem solving

Education

Four-year undergrad or higher in AI/CS/Software/IT/Data Science

Tools

Linux

Android

Claude Code

OpenAI API

Job description

At DIRECTV, we’re redefining the future of entertainment. From satellite to streaming, we deliver innovative video experiences that connect people to the content they love—anytime, anywhere. Join a team that’s shaping the next generation of media and entertainment.

Dive into DIRECTV for Business as a Summer Intern!

The work our team does directly impacts the DIRECTV customer experience through providing support for our Product Development organization by working on real-world problems relating to the overarching customer experience.

This in-person role is based in Clarksburg, Maryland. The selected candidate will work with Artificial Intelligence and Machine Learning to create innovative video solutions for the commercial market.

Project Examples

• 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.
  

What We’re Looking For

• 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

Program Details

• Duration: 10-week internship (3-5 days per week in the Clarksburg, MD office)
• Program Dates: 6/7/27 – 8/13/27 or 6/14/27 – 8/20/27
• Eligibility: Must have full U.S. work authorization now and in the future
• This position can earn $25 - $34 per hour, not to mention all the other amazing rewards that working at DIRECTV offers. (Hourly rate based on academic status)