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Nerf Machine Learning Jobs in California (NOW HIRING)

Waymo

Lead Technical Program Manager, Simulation

San Diego, CA · On-site +1

$137K - $177K/yr

Proven track record of managing complex technical programs involving the Machine Learning platforms ... NeRF, Gaussian Splatting, Diffusion, etc.) and reactive agent modeling * Developer Platforms

General Motors

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site

$189K - $290K/yr

... g., NeRF, Gaussian Splatting, world models, diffusion-based generation). * Hands-on experience building AI agents or tools and deploying machine learning models in production. * Strong programming ...

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Nerf Machine Learning information

What is the difference between Nerf Machine Learning vs Computer Vision Engineer?

AspectNerf Machine LearningComputer Vision Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learning frameworksDegree in Computer Science, Electrical Engineering, or related fields; experience with image processing and vision algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural rendering and 3D modelingTech companies, research institutions, industries involving image analysis and autonomous systems
Industry UsagePrimarily in AI research, neural rendering, 3D scene reconstructionIn autonomous vehicles, robotics, healthcare imaging, and security systems

While both roles involve advanced AI techniques, Nerf Machine Learning focuses on neural radiance fields and 3D scene understanding, whereas Computer Vision Engineers specialize in analyzing and interpreting visual data from images and videos. The roles often overlap in AI research but serve different application areas within the tech industry.

How does a Nerf machine learning engineer typically collaborate with 3D artists and graphics engineers in a project?

As a Nerf Machine Learning Engineer, you’ll frequently work alongside 3D artists and graphics engineers to integrate neural radiance field (NeRF) models into real-time rendering pipelines. Collaboration often involves translating real-world scene data processed by NeRF into formats that can be manipulated by artists, as well as optimizing model performance for interactive applications. Regular meetings and iterative feedback ensure that visual quality and technical requirements align, making strong communication and flexibility essential for success in this role.

What are the key skills and qualifications needed to thrive as a NeRF (Neural Radiance Fields) machine learning engineer, and why are they important?

To thrive as a NeRF Machine Learning Engineer, you need a strong background in computer vision, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Proficiency with Python, PyTorch or TensorFlow, 3D graphics libraries, and familiarity with NeRF-specific frameworks is essential. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this field. These skills enable the development of advanced 3D scene reconstruction models and ensure efficient collaboration within multidisciplinary teams.

What is a Nerf machine learning engineer?

Nerf Machine Learning jobs involve working with Neural Radiance Fields (NeRF), a type of machine learning model used for 3D scene reconstruction from 2D images. Professionals in this field develop, train, and optimize NeRF algorithms to create realistic 3D representations for applications in computer vision, graphics, virtual reality, and robotics. These roles typically require strong backgrounds in deep learning, computer vision, and software engineering, along with experience in frameworks like PyTorch or TensorFlow.
What are popular job titles related to Nerf Machine Learning jobs in California? For Nerf Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Nerf Machine Learning jobs in California look for? The top searched job categories for Nerf Machine Learning jobs in California are:
What cities in California are hiring for Nerf Machine Learning jobs? Cities in California with the most Nerf Machine Learning job openings:
Nerf Machine Learning jobs near you

Video AI Engineer

Zoom Video Communications, Inc.

San Jose, CA • On-site

$137K - $275K/yr

Full-time

Re-posted 4 days ago

Job description

What you can expect
As a Video AI Engineer, you'll enhance video codecs, video generation, and real-time 3D reconstruction to improve video quality, immersion, and performance in Zoom products. You will work across our stack, developing software ranging from Web Server to business application layers for our distributed, cloud-hosted backend. Working alongside leading experts in the field, you'll deliver happiness to our users and grow your knowledge base every day.
About the Team
With eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.
Responsibilities
  • Building and developing video and generative video processing applications on both desktop and mobile systems.
  • Participating in research and performance evaluation of video processing, video generation, and 3D reconstruction algorithms.
  • Designing and developing algorithms in Zoom's video and 3D reconstruction processing pipelines at both module and system levels.
  • Implementing video, neural rendering, and 3D Gaussian Splatting algorithms with modular, well-organized, and production-ready code.
  • Optimizing video, generative, and 3D reconstruction algorithms to achieve real-time performance on corresponding platforms.
  • Customizing, integrating, and shipping deep learning models-including video generative models and 3D neural rendering models-across Mac, Windows, iOS, and Android.
  • Setting up test environments, developing test tools, and designing unit tests for runtime verification of video and 3D pipeline components.

What we're looking for
  • Hold a PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related field; or a Masters degree with 3 years of relevant experience; or 7 years of equivalent professional experience.
  • Have experience with C/C++ or Objective-C, and Python, talking avatar/head/portrait(with released projects and top conference papers).
  • Have hands-on experience with video generation or video diffusion models, neural rendering techniques (e.g., NeRF, 3D Gaussian Splatting), and 3D reconstruction systems.
  • Have hands-on experience with machine learning techniques such as generative models, diffusion models, discriminative models, or transfer learning.
  • Possess experience with or a solid understanding of at least one deepfake detection approach. This includes biometric analysis-based methods, vision-language model (VLM)-based techniques, interactive behavior analysis, or multimodal signal modeling that leverages visual, temporal, and audio cues.
  • Have familiarity with multi-threaded programming and communication mechanisms.
  • Have understanding of multimedia stream data processing flows, ideally including 3D scene or point cloud pipelines.

Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
08/31/26
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

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