Boost Mobile · 7 hours ago
Device Engineering - AI / ML Engineering Intern
EchoStar builds solutions that help families and communities stay connected. They are seeking an AI/ML Engineering Intern to support the Device Engineering team in advancing their machine learning capabilities and data infrastructure, focusing on building intelligent systems and streamlining data pipelines.
ElectronicsMobileTelecommunications
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
Qualification
Required
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
Strong Python, basic SQL
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
Experience with one vector database: FAISS, Chroma, or Pinecone
Familiarity with LangChain or LlamaIndex
Tool-calling and agent orchestration concepts
Experience with REST APIs, Unit testing
AWS S3, Lambda OR GCP Cloud Storage, Functions
Python visualization: Matplotlib, Seaborn, or Plotly
Benefits
Versatile health perks
Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
A flexible time away plan
Company
Boost Mobile
Boost Mobile offers wireless phones and services with no long-term contracts.
Funding
Current Stage
Late StageTotal Funding
unknown2020-07-01Acquired
Recent News
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2025-12-20
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2025-11-12
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