DIRECTV for Business Product Development Intern

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

Job summary

DIRECTV is offering a Summer Intern position in Clarksburg, MD, focusing on AI/ML for media intelligence. You will work with the Product Development team on real-world problems, applying ML to video content analysis and natural-language search across streams.

The role requires pursuing an undergrad or advanced degree in AI/CS/Software Eng/IT/Data Science, with strong Python and ML ecosystem skills. In-person 10-week program; hourly compensation offered.

Qualifications

• Proficiency in Python and ML ecosystem; ability to write reproducible training/evaluation scripts.
• Experience selecting ML approaches (supervised/unsupervised/deep learning/RL) based on data.
• End-to-end model development lifecycle: data collection, preprocessing, feature extraction, training, validation.

Responsibilities

• Build and benchmark baseline models in Python (e.g., linear regression, decision trees, SVM) for classification/regression.
• Develop data pipelines and evaluate model performance using appropriate metrics.
• Experiment with embeddings, semantic search, and prototyping tools/dashboards for media intelligence use cases.
• Evaluate models, tune hyperparameters, mitigate overfitting/underfitting; apply bias-variance analysis.

Skills

Strong presentation skills

Cross-functional collaboration

Education

Undergraduate or advanced degree in AI/CS/Software Eng/IT/Data Science

Tools

Python

NumPy

pandas

PyTorch

TensorFlow

OpenAI API

Claude Code

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)

Ready to explore the possibilities? Join us at DIRECTV and make your mark!