DIRECTV for Business Product Development Intern

DIRECTV; Portland (ME); Presencial; USD 34 000 - 47 000; Tempo parcial

Resumo da oferta

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.

Qualificações

• 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

Responsabilidades

• 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.

Conhecimentos

Python

NumPy

pandas

ML scripting

Model selection

ML lifecycle

Baseline models

Cross-functional

Formação académica

Undergraduate student in AI/CS/DS

Ferramentas

Linux

Android

Claude Code

OpenAI API

PyTorch

TensorFlow

Descrição da oferta de emprego

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)

DIRECTV employees are expected to always be honest, trustworthy, and operate with integrity. Discrimination and harassment of any kind (including sexual harassment) will not be tolerated. We remain steadfast in our belief for diversity, equity, and inclusion; therefore, we encourage success based on individual merit and ability without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military/veteran status, or any other protected status. DIRECTV celebrates and is enriched by our differences; therefore we fully consider all qualified applicants including, those with a criminal history.