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Python Llm Jobs in California (NOW HIRING)

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

Develop high-throughput data processing scripts using Python, leveraging multiprocessing and ... Experience building massive LLM training sets from scratch, including raw web crawls (e.g., Common ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python * Ability to work autonomously and drive initiatives across multiple product areas and ...

New

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA · On-site

$110K - $148K/yr

Evaluate and integrate emerging frameworks for performance, safety, and extensibility What You Bring * 5+ years of experience in Python and backend development * Hands-on experience with LLM APIs (e ...

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Develop high-throughput data processing scripts using Python, leveraging multiprocessing and ... Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common ...

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Python Llm information

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in California? The most popular types of Python Llm jobs in California are:
What are popular job titles related to Python Llm jobs in California? For Python Llm jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in California look for? The top searched job categories for Python Llm jobs in California are:
What cities in California are hiring for Python Llm jobs? Cities in California with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in California as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
Senior AI Researcher, On-Device LLM Efficiency

Senior AI Researcher, On-Device LLM Efficiency

Qualcomm

San Diego, CA • On-site

Full-time

Posted 19 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. The Senior AI Researcher will conduct fundamental research in machine learning methodology, focusing on LLM inference efficiency algorithms and collaborating with cross-functional teams to enhance mobile and edge products.
Responsibilities:
• Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training
• Develop creative solutions with consideration of practical challenges on devices
• Implementation and evaluation of possible solutions in both simulation and on-device environments
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
• Master's degree in Computer Science, Electrical Engineering, or related field
• 4+ years of AI research experience
• Strong background in deep learning and Transformers
• Strong programming skills in Python and PyTorch
• Experience in LLM reasoning or inference acceleration research
Preferred:
• PhD in Computer Science, Electrical Engineering, or related field
• Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
• Experience in on-device AI deployment on mobile or edge devices
• Publishing research papers at top-tier AI/ML conferences, e.g., NeurIPS, ICML, and ICLR, as a lead author
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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