ZipRecruiter

Log In

1

Nerf Machine Learning Jobs (NOW HIRING)

Nvidia

OR · On-site

... machine learning for more than 25 years. It's a unique legacy of innovation fueled by great ... Previous experience with Gaussian Splatting, NeRF, and similar methods. * Proficiency with CUDA.

Waabi

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

General Motors

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site

$189.30K - $290.70K/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 ...

General Motors

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site +1

$189.30K - $290.70K/yr

... NeRF, Gaussian Splatting,world models,diffusion-based generation). * Hands-on experience building AI agents ortoolsanddeploying machine learning models in production. * Strong programming skills in ...

Nvidia

OR · On-site

... Vision, Machine Learning, or a related field (or equivalent experience) with 12+ years of ... Experience with Gaussian Splatting, NeRF, differentiable rendering, rasterization, neural rendering ...

next page

Showing results 1-20

All JobsNerf Machine Learning Jobs

Nerf Machine Learning information

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.

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 Nerf Machine Learning jobs?

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 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.

More about Nerf Machine Learning jobs
What cities are hiring for Nerf Machine Learning jobs? Cities with the most Nerf Machine Learning job openings:
What states have the most Nerf Machine Learning jobs? States with the most job openings for Nerf Machine Learning jobs include:
What job categories do people searching Nerf Machine Learning jobs look for? The top searched job categories for Nerf Machine Learning jobs are:
Nerf Machine Learning jobs near you
Infographic showing various Nerf Machine Learning job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineering Manager - Perception Occupancy

Zoox

Foster City, CA

Full-time

Posted 26 days ago

Job description

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders!
 
Our growing Perception team is searching for an Engineering Manager for the Perception Occupancy and Rare Events team. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation.
 
You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI teams including Simulation, Sensor and Hardware, and Systems Design and Mission Assurance teams to deliver an exceptional objects occupancy perception system encompassing modalities such as vision, lidar, radar and long-wave IR. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion.
In this role, you will:
  • Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution.
  • Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, robustness and accuracy.
  • Innovate with Advanced ML: Lead the adoption of state-of-the-art computer vision and machine learning techniques—such as foundation models and efficient geometrics representations—to improve performance on long-tail classes and support geofence expansion and fleet size expansion.
  • Collaborate on Simulation & Data: Collaborate cross-functionally with simulation and data teams to leverage synthetic data and edge-case scenarios, ensuring the perception system performs reliably in adverse weather and safety-critical environments.
  • Ensure Organizational Excellence: Drive organizational health by balancing technical leadership with people management, establishing best practices for data-driven decision-making, and enabling the team to scale effectively.
Qualifications:
  • Strong understanding of computer vision systems, AI software stacks, and sensor fusion across multiple modalities.
  • 3+ years of technical leadership experience, 10+ years of experience in computer vision, machine learning and related fields.
  • Strong leadership skills in recruiting, leading, growing, and managing technical team members in solving challenging problems, and building critical components of a real-time system
  • Expertise in implementing autonomy solutions and deploying real-world systems
  • Experience with recent AI approaches including VLM, LLM, Transformers and GenAI (3D/4D GS, Diffusion, NeRF).
Bonus Qualifications:
  • Familiarity with perception of autonomous vehicles or similar robots
  • Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems
  • Involvement in validation or evaluation of risk and/or safety-critical systems
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.