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Large Language Model Analyst Jobs in California (NOW HIRING)

Meta

Research Scientist - Reality Labs

Sunnyvale, CA · On-site

$184K/yr

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are ...

Apple

Algorithm Evaluation Manager

Sunnyvale, CA · On-site

... Large Language Model (LM) evaluation. In this role, you will guide a team responsible for the ... Foster a culture of innovation, rigorous analysis, and continuous learning. - Evaluation Strategy:

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. * Implement scalable data pipelines, ensuring efficient ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. * Implement scalable data pipelines, ensuring efficient ...

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Large Language Model Analyst information

What is the difference between Large Language Model Analyst vs Data Scientist?

AspectLarge Language Model AnalystData Scientist
Required credentialsBachelor's or master's in CS, AI, or related fields; familiarity with NLP and ML toolsBachelor's or master's in CS, statistics, or related fields; proficiency in programming and statistical analysis
Work environmentTech companies, AI research labs, or organizations developing NLP applicationsVarious industries including tech, finance, healthcare; data-driven roles
Employer and industry usagePrimarily in AI, NLP, and machine learning sectorsAcross multiple sectors including tech, finance, healthcare, marketing

The main difference is that a Large Language Model Analyst specializes in analyzing and optimizing NLP models like GPT, focusing on language-specific tasks. In contrast, a Data Scientist has a broader scope, working with various data types and analytical methods across industries. Both roles require strong technical skills, but the LLM Analyst is more focused on language models and NLP applications.

What cities in California are hiring for Large Language Model Analyst jobs?

Cities in California with the most Large Language Model Analyst job openings:

Infographic showing various Large Language Model Analyst job openings in California as of June 2026, with employment types broken down into 5% Internship, 52% Full Time, 5% Part Time, 5% Temporary, and 33% Contract. Highlights an 79% In-person, 16% Hybrid, and 5% Remote job distribution.

AIML - Machine Learning Researcher, Data and ML Innovation

Santa Clara, CA • On-site

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

Full-time

Re-posted 23 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud.
As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:
- Analyzing search ranking and relevance requirements, issues and opportunities
- Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, ranking and query understanding problems
- Integrating search functions into Apple products, such as; Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search
- Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
PhD, MS or equivalent experience
Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
Proficiency in one of following languages: Python, Go, Java, C++
Preferred Qualifications
Excellent data analytical skills
Good interpersonal skills and team player
PhD preferred

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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