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Large Language Models Researcher Jobs (NOW HIRING)

Peraton

Large Language Model Specialist

$104K - $166K/yr

... large-language-model capabilities across a cloud-based analytics ecosystem. This role leads ... Deep expertise in LLM architectures, transformer models, and modern generative AI techniques.

Nace AI

Research Engineer

Palo Alto, CA · On-site

Nace.ai is seeking an AI Researcher specializing in Language Models to join their dynamic team. The role involves advancing large language models and vision-language models by developing novel ...

CACI International Inc.

Experience leading an interdisciplinary team of researchers and software developers * Experience with any of the following Computer Vision domains: * Large Language Models and experience identifying ...

Corepass

LLM Algorithm Engineer

Menlo Park, CA · On-site

... research and production-grade applied AI. Our customers are not looking for demos. They need agents ... The role We are looking for a Large Language Model Algorithm Engineer to help build, fine-tune ...

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Large Language Models Researcher information

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$30K

$113.1K

$164.5K

How much do large language models researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for large language models 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 are popular job titles related to Large Language Models Researcher jobs?

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Infographic showing various Large Language Models Researcher job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Researcher, Foundation Models [SWE Org]

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 29 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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