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Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

Centific

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

ProNexus

Software Engineer Intern

Consulting and research teams rely on human experts for primary research-finding them, vetting them ... Strong interest in GenAI / prompt engineering, with experience building LLM-powered features ...

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How much do intern llm researcher jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for intern llm researcher in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What is an intern LLM researcher?

Intern LLM Researchers are students or early-career professionals who work temporarily in organizations to assist with research and development of large language models (LLMs) such as GPT or BERT. Their responsibilities often include conducting literature reviews, experimenting with model architectures, cleaning and preparing datasets, and evaluating model performance. These internships provide hands-on experience with state-of-the-art AI technologies and exposure to the latest advancements in natural language processing. Intern LLM Researchers typically work under the guidance of senior engineers or scientists and may contribute to published research or new product features.

What types of projects and responsibilities can an intern LLM researcher expect to work on during their internship?

As an Intern LLM Researcher, you'll typically contribute to ongoing research projects focused on large language models (LLMs), such as developing new model architectures, evaluating model performance, or preparing and cleaning datasets. You may collaborate closely with senior researchers and data scientists, participate in literature reviews, and help design experiments to test new ideas. It's common to work in a team-oriented environment where knowledge-sharing and regular meetings are encouraged, providing you with opportunities to learn from experienced professionals. This role offers hands-on experience with state-of-the-art tools and frameworks, and a chance to build a strong foundation for a future career in AI research.

What are the key skills and qualifications needed to thrive as an intern LLM researcher, and why are they important?

To thrive as an Intern LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by coursework or research experience in natural language processing (NLP). Familiarity with programming languages like Python and frameworks such as PyTorch or TensorFlow, along with knowledge of transformer architectures, are typically required. Strong analytical thinking, curiosity, and effective communication skills help interns contribute to research projects and collaborate with teams. These competencies are crucial for successfully advancing language model research and translating findings into impactful solutions.

What is the difference between Intern Llm Researcher vs Legal Research Intern?

AspectIntern Llm ResearcherLegal Research Intern
CredentialsLLM student or recent graduateUndergraduate or law student
Work EnvironmentLaw firms, legal departments, research institutionsLaw firms, legal clinics, academic settings
Industry UsageLegal research, policy analysis, academic projectsLegal case research, document review, legal writing

The Intern Llm Researcher typically has an advanced law degree or is pursuing one, focusing on in-depth legal research and analysis. The Legal Research Intern is usually an undergraduate or law student gaining practical experience in legal research tasks. Both roles are common in legal settings, but the Intern Llm Researcher often handles more complex research projects related to academic or policy work, while the Legal Research Intern supports case preparation and document review.

What cities are hiring for Intern Llm Researcher jobs?

Cities with the most Intern Llm Researcher job openings:

What are the most commonly searched types of Llm Researcher jobs?

The most popular types of Llm Researcher jobs are:

What states have the most Intern Llm Researcher jobs?

States with the most job openings for Intern Llm Researcher jobs include:

Intern Llm Researcher jobs near you
Infographic showing various Intern Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 21% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

LLM Algorithmic Optimization Engineer - Intern

NIO

San Jose, CA • On-site

$38 - $46/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

JOB DESCRIPTION

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

Roles and Responsibilities:

  • Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and multimodal models, exploration and implementation of the core algorithmic optimization on heterogeneous architectures, for highly efficient LLM inference as well as deployment across distributed and heterogeneous hardware environments.
  • Focus on model optimization from a systems perspective, ensuring efficient deployment in the vehicle's digital cockpit and advanced driving (AD) domain.
  • Collaborate with cross-functional teams to ensure the integration of optimized models into real-world automotive applications.
  • Contribute to the entire pipeline from research, development, and testing, through to deployment on hardware, including GPUs and other distributed systems.
Qualifications:
  • Currently pursuing or completed a PhD or Master's degree in Computer Science, Computer Engineering, Applied Mathematics, Communications, Electronics, or a related field with relevant research projects and publications.
  • Strong understanding of GPU/NPU architecture and optimization techniques to identify and address bottlenecks.
  • Proficient in LLM and VLM architectures and algorithms, familiar with transformer based NLP / Audio / CV algorithms and technologies.
  • Proficiency in Python and experience with AI-related training and inference tools such as PyTorch.
  • Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.
  • Hands-on experience with model-serving frameworks such as Open Neural Network Exchange (ONNX).
  • Familiarity with debugging code in distributed computing environments.Experience in LLM inference optimization on resource constrained edge devices is a plus.
Preferred Qualification:
  • Ph.D. in computer science, artificial intelligence, or related fields; or Masters degree + 3 years of relevant industry experience
  • Experience in inference optimization techniques of deep learning models or libraries on hardware architectures;
  • Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework
  • Those who have good publication records and have published high impact, innovative papers are preferred

Compensation:

The US base salary range for this full-time position is $38.00 - $46.00.

  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

Benefits:

Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:

  • CIGNA EPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.

  • Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents.

  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan

  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)

  • 401(k) with Brokerage Link option

  • Company paid Basic Life, AD&D, short-term and long-term disability insurance

  • Employee Assistance Program

  • Sick and Vacation time

  • 13 Paid Holidays a year

  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)

  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)

  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance

  • Commuter benefits

  • Mobile Cell Phone Credit

  • Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions

  • Free lunch and snacks

  • Onsite gym

  • Employee discounts and perks program

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