We are looking for Fall Interns (Flexible start date for a 3 month internship between September ... retrieval augmented generation (RAG), reasoning and action planning, etc. * Experience in planning ...
We are looking for Fall Interns (Flexible start date for a 3 month internship between September ... retrieval augmented generation (RAG), reasoning and action planning, etc. * Experience in planning ...
AI and Recommendation Engineer
Oakland, CA · On-site
$250K - $350K/yr
Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...
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AI and Recommendation Engineer
Oakland, CA · On-site
$250K - $350K/yr
Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...
Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems. Demonstrated ability to define long-term technical strategy while ...
Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems. Demonstrated ability to define long-term technical strategy while ...
Senior Agentic AI Builder
San Jose, CA · On-site
$107K - $136K/yr
... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...
Senior Agentic AI Builder
San Jose, CA · On-site
$107K - $136K/yr
... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...
Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:
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Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:
AI/ML Engineer
Burbank, CA · On-site
$111K - $153K/yr
Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...
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AI/ML Engineer
Burbank, CA · On-site
$111K - $153K/yr
Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...
AI/ML Engineer
Burbank, CA · On-site
This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...
AI/ML Engineer
Burbank, CA · On-site
This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...
Senior Machine Learning Engineer, Proactive
Santa Clara, CA · On-site +1
$184K - $324K/yr
Build semantic retrieval, embedding, reranking, and retrieval-augmented generation systems, along with models for query understanding, intent prediction, personalization, and ranking. Research and ...
Senior Machine Learning Engineer, Proactive
Santa Clara, CA · On-site +1
$184K - $324K/yr
Build semantic retrieval, embedding, reranking, and retrieval-augmented generation systems, along with models for query understanding, intent prediction, personalization, and ranking. Research and ...
Senior Machine Learning Engineer, Proactive
Santa Clara, CA · On-site
$143K - $189K/yr
Experience building retrieval-augmented generation, vector search, embedding retrieval, or semantic search systems. Experience working with transformer architectures such as BERT, T5, Llama, Gemma ...
Senior Machine Learning Engineer, Proactive
Santa Clara, CA · On-site
$143K - $189K/yr
Experience building retrieval-augmented generation, vector search, embedding retrieval, or semantic search systems. Experience working with transformer architectures such as BERT, T5, Llama, Gemma ...
Software Engineer (Java + GenAI)
San Jose, CA · On-site
$60.75 - $83.25/hr
... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com
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Software Engineer (Java + GenAI)
San Jose, CA · On-site
$60.75 - $83.25/hr
... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com
Senior Software Engineer, DevAI
San Diego, CA · On-site
$130K - $171K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Senior Software Engineer, DevAI
San Diego, CA · On-site
$130K - $171K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...
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Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. * Partner with AI engineers, platform teams, and product ...
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. * Partner with AI engineers, platform teams, and product ...
Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...
Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
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Data Scientist II
Irvine, CA · On-site +1
Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...
Python Full Stack AI
San Jose, CA · On-site
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...
Python Full Stack AI
San Jose, CA · On-site
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...
Data Scientist II
Irvine, CA · On-site +1
$82K - $127K/yr
Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...
Data Scientist II
Irvine, CA · On-site +1
$82K - $127K/yr
Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...
Internship Retrieval Augmented Generation information
What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?
To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.
What is an internship in Retrieval Augmented Generation (RAG)?
An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.
What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?
As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.
What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?
| Aspect | Internship Retrieval Augmented Generation | Internship Data Analyst |
|---|---|---|
| Required Skills | Knowledge of AI, NLP, retrieval systems, programming | Data analysis, statistical skills, Excel, SQL |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, marketing departments |
| Employer Usage | Develop AI models, improve retrieval systems | Analyze data trends, generate reports |
Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.
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Re-posted 29 days ago
Job description
Lab Summary:AI Research Center (AIC) located in Mountain View, California focuses on research and development which directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence.
Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users' needs on Samsung devices.
Position Responsibilities: We are looking for Fall Interns (Flexible start date for a 3 month internship between September-December).
- Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech) in various applications
- Contribute to the research activities of our team
- Generate creative solutions (patents) and publish in top conferences (papers)
Required Skills:
- Current Ph.D. student in CS, EE, or related field
- Experience in one or more of the following areas:
- Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
- Experience in planning, tool use, agent AI, and agent memory to develop autonomous systems for decision-making, problem-solving, and adaptability.
- Experience in knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning)
- Experience in conversational AI technologies: natural language processing (e.g., language models, semantic parsing, natural language generation etc.), dialogue (e.g., state tracking, policy learning), and representation learning (embedding, conceptualization, etc.)
- Experience in multimodal AI technologies for various multimodal applications
- Experience in on-device AI technologies such as lightweight model architecture design
- Teamwork and communication skills
- Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
- Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.)