Nest.js/Typescript, AI/ML, Postgres - Backend Software Development Internship jobs in United States
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MarketEQ ยท 23 hours ago

Nest.js/Typescript, AI/ML, Postgres - Backend Software Development Internship

MarketEQ is focused on building a modular backend system designed for scalability and intelligent automation. They are seeking a Backend Engineering Intern to contribute to the development of microservices and intelligent backend features using AI and ML.

Marketing & Advertising
Hiring Manager
Christopher Torres
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Responsibilities

Building and refining backend microservices in NestJS (TypeScript)
Developing secure authentication flows and permission layers
Implementing APIs and integrations for structured data management
Managing PostgreSQL queries, indexes, and data pipelines for performance
Writing modular, scalable backend code that supports future AI integration
Creating logic for suggesting entities (e.g., projects, tags, roles) based on profile or usage behavior
Enhancing query matching with vector similarity or keyword embeddings
Exploring models to detect spikes or shifts in usage behavior or category engagement
Defining scoring logic for profiles, items, or events using ML models or rule-based systems
Collaborating with product to test prompt-based features using tools like OpenAI or HuggingFace

Qualification

Nest.jsTypeScriptAI/MLPostgreSQLREST APIsGraphQLGitHub workflowsPythonScikit-learnHuggingFace

Required

Pursuing or recently completed a degree in Artificial Intelligence or Machine Learning
Experience in backend development with TypeScript/Node.js (preferably NestJS)
Relational databases like PostgreSQL
REST APIs or GraphQL
Familiar with GitHub workflows and testing standards
Interest in combining backend development with applied machine learning

Preferred

Experience using Python, scikit-learn, or HuggingFace
Exposure to vector databases, transformers, or recommendation frameworks
Interest in scalable backend infrastructure and system design

Benefits

Practical startup experience contributing to real product architecture
Opportunity to build real-world AI/ML integrations from scratch
Exposure to scalable backend infrastructure and early-stage experimentation
Mentorship from technical leads and async collaboration practices
Reference letters and portfolio-worthy contribution

Company

MarketEQ

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Funding

Current Stage
Early Stage
Company data provided by crunchbase