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Internship Language Technology Jobs in California

... technology, project-based learning, and a Digital Media Arts/Video Production theme. This is a ... Possession of a valid internship, preliminary, or clear California Single Subject teaching ...

Skillbridge Internship

Sunnyvale, CA · On-site

$19.75 - $25.50/hr

Fury enables human operators to command fleets of robots through natural language, and empowers ... SkillBridge Interns play a meaningful role in shaping our processes, culture, and technology. This ...

Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world ... Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or ...

Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world ... Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or ...

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Internship Language Technology information

What is the difference between Internship Language Technology vs Language Data Analyst?

AspectInternship Language TechnologyLanguage Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in linguistics, data analysis, or related field
Work EnvironmentInternship setting, collaborative teams, tech companiesData-focused roles, research labs, tech firms
Employer & Industry UsageTech companies, startups, research institutionsData-driven companies, NLP firms, AI organizations
Search & Comparison IntentUnderstanding entry-level roles in language techClarifying data analysis roles in language industry

Internship Language Technology roles focus on gaining practical experience in NLP tools, programming, and language processing projects. Language Data Analysts primarily analyze language datasets, interpret linguistic data, and support NLP model development. Both roles often require similar educational backgrounds but differ in daily tasks and career focus.

What job categories do people searching Internship Language Technology jobs in California look for? The top searched job categories for Internship Language Technology jobs in California are:
What cities in California are hiring for Internship Language Technology jobs? Cities in California with the most Internship Language Technology job openings:

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Re-posted 9 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.)Â