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Full Time Llm Researcher Jobs (NOW HIRING)

Vast.ai Inc

AI Agent Researcher

San Francisco, CA · On-site

$160K - $320K/yr

Many are called, but few are chosen. * Full-Time * On-site at either our SF or LA offices Tech ... LLM assisted coding assessment (virtual 1 hour) * Meet and greet with coding assessment (on-site 2 ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML ... Research and evaluate new technologies and methodologies in the LLM space to continuously improve ...

American

$78K - $82K/yr

American University is a student-centered research institution located in Washington, DC, with ... Washington College of Law Time Type: Full time Job Type: Regular FLSA Status: Exempt Work Modality:

Gitwit

Product Strategist and UX Researcher

Tulsa, OK · On-site

$64K - $85K/yr

Gitwit Employment Type: Full Time Location: Tulsa, OK Compensation: $64,126 - $85,000 / year ... Develop and refine prompts and LLM interaction patterns for production AI features, evaluating ...

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Full Time Llm Researcher information

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$30K

$113.1K

$164.5K

How much do full time llm researcher jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full time llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a full time LLM researcher do?

A Full Time LLM Researcher studies and develops large language models (LLMs), such as those used in artificial intelligence and natural language processing applications. Their work often involves designing experiments, training models on large datasets, evaluating model performance, and publishing research findings. They may also collaborate with engineers and data scientists to implement and optimize LLMs for real-world applications. This role typically requires strong programming skills, a background in machine learning, and expertise in natural language processing.

What are the key skills and qualifications needed to thrive as a full time LLM researcher?

To thrive as a Full Time LLM Researcher, you need a deep understanding of machine learning, natural language processing, and large language model architectures, often supported by an advanced degree in computer science or a related field. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), and experience using large-scale compute resources are typically required. Strong analytical thinking, problem-solving abilities, and clear communication help researchers articulate findings and collaborate effectively. These skills ensure high-impact research, innovative model development, and effective integration of new technologies into real-world applications.

What are some common challenges full time LLM researchers face when collaborating with cross-functional teams?

Full Time LLM Researchers often collaborate with engineers, data scientists, and product managers to deploy and refine language models. A common challenge is communicating complex research findings to non-experts, ensuring alignment between research goals and product requirements. Balancing experimental innovation with practical constraints, such as computational resources and project deadlines, can also be demanding. Effective collaboration requires adaptability, strong communication skills, and the ability to translate theoretical advances into applied solutions.

What is the difference between Full Time Llm Researcher vs Part Time Llm Researcher?

AspectFull Time Llm ResearcherPart Time Llm Researcher
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
Employment StatusFull-time employmentPart-time employment
CredentialsUsually requires an LLM degree, relevant research experienceSame as full-time, but may have more flexible qualifications
Work EnvironmentResearch institutions, law firms, universitiesSimilar environments, with flexible scheduling

Full Time Llm Researchers work full-time hours, often with more responsibilities and consistent schedules, while Part Time Llm Researchers have flexible hours with potentially fewer responsibilities. Both roles typically require an LLM degree and involve research in legal fields, but the full-time position offers more stability and engagement.

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Full Time Llm Researcher jobs near you
Infographic showing various Full Time Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Staff Machine Learning Engineer - LLM Quantization & Deployment

XPENG

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

New

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
Our mission is to build strong foundation for LLM deployment and quality sign-off for next-gen XPENG Turing AI chip. This includes and is not limited to: LLM model fine tuning, PTQ, QAT, on-vehicle inference and related fields.
 
Key Responsibilities
  • Develop VLA inference models, ensure numerical consistency with training models, and productionize LLM quantization methods, including PTQ, QAT, mixed-precision inference, INT8, FP4, and lower-bit techniques.
  • Develop production-quality Python code with strong testing, observability, reproducibility, and failure handling.
  • Build robust model export, calibration, benchmarking, validation, and deployment pipelines.
  • Engage early with the VLA model research team to establish performance estimates and prove model feasibility.
  • Curate evaluation datasets and establish a comprehensive metric suite to systematically benchmark VLA performance.
  • Analyze numerical errors, accuracy regressions, and performance trade-offs.
  • Develop PTQ and QAT orchestration workflows.
  • Serve as the primary interface with field-testing and simulation teams for issue triage and autonomous driving performance sign-off.
  • Collaborate with the in-vehicle software team on latency analysis and issue triage.
  • Collaborate with the training infrastructure team to develop QAT and model distillation.
Basic Qualifications
  • Master in CS/CE/EE, or equivalent, with 3-5 years of industry experience.
  • Strong understanding of Transformer architectures and LLM inference.
  • Hands-on experience quantizing or deploying deep learning models in production.
  • Proficiency with PyTorch and at least one inference or compilation stack.
  • Strong Python programming and software engineering skills.
  • Ability to work effectively across research, systems, infrastructure, and product teams.
  • Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
Preferred Qualifications
  • Experience with weight-only, activation, KV-cache, dynamic, static, or mixed-precision quantization.
  • Experience with AWQ, GPTQ, SmoothQuant, or related methods.
  • Strong numerical analysis and systems engineering skills.
  • Experience with one or more LLM runtimes, such as TensorRT-LLM, vLLM, SGLang, llama.cpp, ONNX Runtime, TVM, MLIR, or custom runtimes.
  • Experience deploying LLMs on resource-constrained or heterogeneous hardware.
  • Contributions to model optimization, inference, compiler, or serving projects.
  • Publications at NeurIPS, ICML, ICLR, ACL, or related conferences.
What We Provide
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $215,280 - $364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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