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Remote Python Llm Jobs in California (NOW HIRING)

Mindlance

Engr 3, Software

San Diego, CA · Remote

Remote bill rate is *** - *** Responsible for data engineering and AI agent development ... Collaborate with AI/ML engineers to prepare datasets for LLM-powered agents (Claude, GPT) including ...

MatX

Runtime Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Build Python bindings via PyO3, with a C-ABI shim as the alternative integration path for ... Build the LLM inference serving stack - paged KV cache, continuous batching, request scheduling ...

MatX

Runtime Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Build Python bindings via PyO3, with a C-ABI shim as the alternative integration path for ... Build the LLM inference serving stack -- paged KV cache, continuous batching, request scheduling ...

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Remote Python Llm information

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.
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 Remote Python Llm jobs in California? For Remote Python Llm jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Python Llm jobs in California look for? The top searched job categories for Remote Python Llm jobs in California are:
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Infographic showing various Remote Python Llm job openings in California as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Machine Learning Engineer Perception LLM/VLM (PhD, New Grad)

Machine Learning Engineer Perception LLM/VLM (PhD, New Grad)

Waymo

San Francisco, CA • On-site, Remote

$170K - $216K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

You will:

  • Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.
  • Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.
  • Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.
  • Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.

You have:

  • 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).
  • Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets.
  • Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).
  • Hands-on experience with model training, evaluation, and deployment in a production environment.
  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

We prefer:

  • Experience in fine-tuning foundation models for autonomous driving or robotics applications
  • Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.
  • Background in autonomous vehicle perception, motion planning, or decision-making systems.
  • Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • PhD in a relevant field.


The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$170,000—$216,000 USD

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