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Full Time Llm Training Jobs (NOW HIRING)

Hark

Member of Technical Staff, Mid-training

San Jose, CA · On-site

$180K - $450K/yr

Experience with mid-training, post-training, or agent-focused model development or coding LLM ... Compensation The US base salary range for this full-time position is between $180,000 - $450,000 ...

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Full Time Llm Training information

What is the difference between Full Time Llm Training vs Legal Assistant?

AspectFull Time Llm TrainingLegal Assistant
Required CredentialsLaw degree, often an LLMParalegal certification or associate degree
Work EnvironmentAcademic, research-focused, or specialized legal practiceLaw firms, corporate legal departments, courts
Employer & Industry UsageLegal academia, specialized legal fieldsLegal service providers, law firms, government agencies

Full Time Llm Training is an advanced legal education program for those seeking specialization or academic careers, while Legal Assistants support lawyers with administrative and research tasks. Both roles are integral to the legal industry but differ in credentials, responsibilities, and work settings.

What are some common challenges faced by professionals working in full-time LLM (Large Language Model) training roles?

Professionals in full-time LLM training roles often encounter challenges such as managing large-scale datasets, optimizing model performance, and ensuring responsible AI practices. The work typically involves collaborating closely with data engineers, researchers, and software developers to preprocess data, fine-tune models, and evaluate outputs. Additionally, staying updated with rapidly evolving technologies and addressing issues like data bias and computational resource limitations are important aspects of the role. Effective communication and adaptability are key to thriving in this dynamic environment.

What is a Full Time LLM Training position?

A Full Time LLM Training position refers to a role focused on the training and development of large language models (LLMs), such as GPT or BERT, within a company or research organization. Individuals in this position work on preparing datasets, tuning model parameters, running training sessions, and evaluating model performance. The job typically requires strong skills in machine learning, natural language processing, and software engineering, as well as familiarity with cloud computing and large-scale data processing. People in this role play a crucial part in advancing AI capabilities by continually improving the quality and efficiency of language models.

What are the key skills and qualifications needed to thrive as a Full-Time LLM Training Specialist, and why are they important?

To thrive as a Full-Time LLM Training Specialist, you need a strong background in machine learning, natural language processing, and large language model architectures, often supported by a degree in computer science or a related field. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), distributed computing systems, and version control tools is typically required. Strong analytical thinking, communication skills, and the ability to collaborate cross-functionally help individuals excel in this role. These skills ensure effective development, training, and optimization of sophisticated language models that meet organizational objectives.
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What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
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Full Time Llm Training jobs near you
Infographic showing various Full Time Llm Training job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 73% Full Time, and 25% Part Time. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Machine Learning Engineer - LLM, AI & Robotics

XPENG

Santa Clara, CA • On-site

Full-time

Posted 14 days ago

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.
Job Responsibilities
  • Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
  • Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
  • Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.
  • Work on efficient and effective ways to leverage large scale dataset and computational resource.
  • Explore novel ways to generate synthetic data to improve the data diversity & quality.
  • Communicate and align with different teams on product needs across the company

Minimum Skill Requirements:
  • Ph.D in Computer Science or related fields.
  • Solid background in machine learning, natural language processing (NLP), computer vision,
    speech or data.
  • Experience in working with LLMs
  • Strong python programming skills & software development, and strong experience with any
    major deep learning framework.
  • Open-minded, collaborative and excellent communication skills

Preferred Skill Requirements:
  • Deep understanding of language model modern architectures, 'under the hood' LLM training knowledge, quantization techniques, etc.
  • Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.
  • Record of publications, innovations or leadership.

What do we provide:
  • A fun, supportive and engaging environment
  • Opportunity to make significant impact on transportation revolution by the means of
    advancing autonomous driving
  • Opportunity to work on cutting edge technologies with the top talent in the field
  • Competitive compensation package
  • Snacks, lunches, and fun activities

The base salary range for this full-time position is $148,909 - $252,000, 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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