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Internship Vector Pipeline Jobs (NOW HIRING)

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

... vector databases, Docker, and Git. This internship provides competitive hourly compensation ... pipelines. * Conduct research on emerging generative AI techniques, foundation models, and best ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Internship Overview Join us in New York City for 10-12 weeks and help build the next generation of ... Build retrieval pipelines over large, messy enterprise datasets * Write clean, well-tested code and ...

Centific

Technical Intern

$40/hr

... pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can ... Join Our PhD Research Internship Program! 🌟 Are you a PhD / MS student working in NLP, Computer ...

Advantest

AI Intern

San Jose, CA · On-site

This internship provides hands-on experience working with emerging AI systems and integrating them ... Develop RAG-based pipelines that combine internal documentation and reference materials with LLM ...

Advantest

AI Intern

San Jose, CA · On-site

This internship provides hands-on experience working with emerging AI systems and integrating them ... Develop RAG-based pipelines that combine internal documentation and reference materials with LLM ...

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

In this role, you will get hands-on experience building data pipelines, working with APIs ... This is not a passive internship - you will write real code, work with real data, and build things ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

Cotiviti

Intern - Agentic AI Research

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

Cotiviti

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

Cotiviti

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.

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How much do internship vector pipeline jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship vector pipeline in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
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Internship Vector Pipeline jobs near you
Infographic showing various Internship Vector Pipeline job openings in the United States as of July 2026, with employment types broken down into 40% Internship, 40% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

2026 Fall Intern, Memory and Personalization

Samsung Research America Internship

Mountain View, CA • On-site

$17.75 - $23.50/hr

Other

Re-posted 10 days ago

Job description

Lab Summary:

Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy Watch & Smart home appliances like TVs, Family Hub, IoT devices etc.) with deep integration and building AI assisted services intelligent solutions.

We work on applied research, innovative products, services, and experiences to delight our users by promoting new technologies to make best user experience with Bixby on devices to be intuitive, faster, seamless, more powerful, and multi-dimensional across different product domains/categories. Our goal is to improve user's lifestyles through technology advancement and experience enrichment.

Position Summary:

Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc.

Samsung Bixby team is seeking talented and self-driven software engineering interns to join our applied research on Long-term memory and personalization solutions. As an intern you will work closely with our team of engineers to develop and maintain software products, learn about the latest technologies and industry trends, and gain valuable experience in a fast-paced and dynamic work environment and build next generation AI services that influence the evolution of smart assistant solutions across our flagship devices.  As an intern on the Memory & Personalization team, you will work on next-generation long-term memory systems for Bixby. This includes building and evaluating retrieval pipelines (vector + graph), designing contextual reasoning mechanisms, and developing scalable personalization infrastructure that operates efficiently under device constraints.

Position Responsibilities:

  • Design and prototype hybrid memory retrieval systems combining vector search and structured knowledge graphs
  • Develop long-term memory models from user interaction signals
  • Build evaluation pipelines for memory relevance, personalization accuracy, and latency
  • Optimize memory systems for low-latency and on-device deployment
  • Collaborate with system, platform, and product teams to integrate memory into assistant workflows

Required Skills:

  • Currently pursuing a PhD in Computer Science or equivalent field with knowledge around Long-term memory, LLM, ML, AI
  • 2+ years of ML engineering experience with building end-to-end systems in production
  • Strong hands-on experience with ML systems through research projects, internships, or production environments
  • Experience with retrieval systems (vector databases, ranking, search)
  • Familiarity with graph databases or knowledge graphs
  • Experience with large language models and embedding-based retrieval
  • Strong Python skills and familiarity with ML frameworks (PyTorch or TensorFlow)

Special Attributes:

  • Experience with memory systems or knowledge representation
  • Knowledge of GraphQL and modern API patterns
  • Experience with recommendation systems or search
  • Background in information retrieval or ranking systems
  • Knowledge of model optimization and quantization
  • Strong knowledge of design patterns and scalable architecture
  • Experience with CI / CD platforms like Jenkins, Github actions and Circle CI
  • Hands on experience with Web applications/services development in a professional environment

Apply