ZipRecruiter

Log In

2

Full Time Llm Training Jobs (NOW HIRING)

Higharc

Research Engineer

Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains ... S based employees that are full-time. You'll also have access to other big-company benefits such ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ... Lead AI education, training, and change management initiatives to increase organizational adoption ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ... Lead AI education, training, and change management initiatives to increase organizational adoption ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

1mind

AI Research Lead

San Francisco, CA · On-site +1

Deep technical fluency in LLM training pipelines, fine-tuning methodologies, and evaluation ... Employment Type Full-time 1mind's total compensation package is designed to be competitive and ...

DEEPREC.AI

Multimodal LLM Researcher

Palo Alto, CA · On-site

$300K - $400K/yr

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has ... Design novel multimodal model architectures and training approaches * Improve real-time inference ...

Netflix

Machine Learning Engineer 5 - Globalization

$466K - $750K/yr

... that make LLM training and inference faster, more scalable, and more reliable across a diverse ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

Netflix

Machine Learning Engineer 5 - Globalization

$466K - $750K/yr

... that make LLM training and inference faster, more scalable, and more reliable across a diverse ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

next page

Showing results 1-20

All JobsFull Time Llm Training Jobs

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.
More about Full Time Llm Training jobs
What cities are hiring for Full Time Llm Training jobs? Cities with the most Full Time Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Full Time Llm Training jobs? States with the most job openings for Full Time Llm Training jobs include:
What job categories do people searching Full Time Llm Training jobs look for? The top searched job categories for Full Time Llm Training jobs are:
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.
Research Engineer

Research Engineer

Higharc

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About Us
Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised a total of $83M with support from top-notch venture capital firms and more than 18 strategic investors-industry leaders in construction, building products manufacturing, and distribution.
Higharc is hiring a Research Engineer to join our Special Projects team. In this role, you'll conduct foundational research in spatial AI for residential construction - developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and 3D geometry to solve problems that have no off-the-shelf solutions.
What You'll Do
You'll produce the research capabilities that power Higharc's AI platform, working on problems that don't exist anywhere else. Expect to:
  • Design and conduct original research in spatial reasoning for residential construction, developing models that understand architectural structure, spatial relationships between building components, and the geometric constraints that govern how homes can be built.
  • Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains, developing domain-specific pre-training and SFT datasets from architectural drawings, building codes, product specifications, and construction documentation.
  • Apply computer vision techniques to extract semantic structure from architectural inputs and develop multimodal training pipelines that link visual and textual representations of building data, enabling models that reason across drawings, specifications, and code requirements simultaneously.
  • Develop RL-based approaches for generative architectural design and architect RAG systems that ground LLM outputs in authoritative construction knowledge bases, reducing hallucination for high-stakes building decisions.
  • Define construction-domain benchmarks, build ground-truth datasets, and establish eval pipelines that measure model performance against real homebuilding tasks rather than generic benchmarks. Research emerging foundation models and parameter-efficient fine-tuning approaches (LoRA, QLoRA, adapter layers) to inform Higharc's model strategy.
  • Deliver research outputs ready for integration, including documented model artifacts, serving-ready pipelines, and clear API contracts, and partner with the Prototyping Engineer to deploy fine-tuned models and RAG systems into the Higharc platform.
About You
You do your best work when you can go deep. You treat residential construction as a worthy and complex problem space, not a stepping stone to a more prestigious domain, and you bring the same intellectual honesty to negative results as to positive ones. You understand that research that never ships is indistinguishable from research that never happened.
You have:
  • 5+ years of professional software engineering experience, with 2+ years directly on LLM development, fine-tuning, or applied ML systems in production
  • Hands-on experience with model training frameworks (HuggingFace Transformers, PyTorch) and fine-tuning workflows on domain-specific corpora
  • Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding model selection
  • Experience with 3D modeling, computational geometry, or computer graphics in a research or production context
  • Strong proficiency in Python across the ML ecosystem; React/TypeScript proficiency for integration work
  • A Master's degree in Computer Science, Machine Learning, AI, or a closely related field

A major plus if you also bring:
  • A Ph.D., particularly for candidates focused on model research and pre-training
  • Open-source contributions or published research
  • Familiarity with BIM tools (Revit, AutoCAD) or BIM data formats (IFC, gbXML)
  • Experience with Three.js or equivalent 3D frameworks

While we've identified the core experience and skills required above, please still apply if you have more or different experience than this! We will use your previous experience and performance across the series of interviews to establish appropriate level within our organization in a fair and equitable way.
Working at Higharc
Higharc has been remote first since our founding in 2018. We offer flexible hours so you can do your best work without missing out on life. Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company.
Personal healthiness is an important value for us- we provide comprehensive medical, dental, and vision coverage, with unlimited PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. Haven't worked remotely before? We provide a stipend to create the ideal home office.

Apply