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Selected role

Device Engineering - AI / ML Engineering Intern

Boost Mobile Littleton, CO

Senior Full-time

Company Summary
EchoStar builds solutions that help families and communities stay connected. We’ll launch your career and empower you to change lives.

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.

Department Summary
At EchoStar, hard work is rewarded with limitless opportunities. We’re looking at more than your education and previous work experience, we want individuals who are bright, energetic and ambitious. We believe the critical thinking skills you learn in college can be applied across a variety of business functions, regardless of your major. The opportunities at EchoStar will provide you with a potential fast track for career advancement.

Our internship program is designed to give you comprehensive experience in the fast-paced world of wireless and technology industries. With hands-on field experience and business projects, you will get an in-depth look at how our business works and where you fit into it. Help us build our brand while we help you build yours.

Our interns partner with teams across EchoStar working to drive our latest game-changing innovation. Our internship is a 10 week, in-person experience that is paid hourly with eligible overtime. Interns are given a business project(s) to complete over the summer and present their results to leadership and their peers. EchoStar provides each intern with a manager to support them with the execution of their project.

All opportunities are located in Denver, CO unless otherwise stated.
Job Duties And Responsibilities
EchoStar has an exciting opportunity for an
AI/ML Engineering Intern
to support the
Device Engineering team
in advancing their machine learning capabilities and data infrastructure. The role will focus on building intelligent systems—specifically Large Language Model (LLM) applications—and streamlining the data pipelines that power them to improve technical decision-making and operational efficiency.

Key Responsibilities

Build and optimize ML/LLM solutions including RAG pipelines.
Develop ETL pipelines for data collection, cleaning, and structuring.
Evaluate model performance and create analytics dashboards.
Experiment with prompt engineering, vector databases, and agent workflows.
Write clean, documented code with version control best practices.

Skills, Experience And Requirements
Education and Experience:

GPA 3.3 or above
Currently enrolled in an undergraduate or graduate program, in a related field of study
Must have 60 credit hours completed by May 2026

Skills And Qualifications

Programming: Strong Python, basic SQL
Data Skills: Pandas, NumPy, data cleaning & preprocessing
Supervised/unsupervised learning concepts
Model evaluation metrics (accuracy, precision, recall, F1)
Basic feature engineering
Prompt Engineering Experience
Understanding of embeddings & tokenization
RAG & Vector DBs: Experience with one vector database: FAISS, Chroma, or Pinecone
Frameworks: Familiarity with LangChain or LlamaIndex
MCP/Agents: Tool-calling and agent orchestration concepts
Engineering: Experience with REST APIs, Unit testing
Cloud: AWS S3, Lambda OR GCP Cloud Storage, Functions
Python visualization: Matplotlib, Seaborn, or Plotly

Visa sponsorship not available for this role

Salary Ranges
Compensation: $18.00/Hour - $24.00/Hour

Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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