ZipRecruiter

Log In

1

Nerf Machine Learning Jobs (NOW HIRING)

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... such as: • 3DGS / NeRF / neural rendering • 3D / 4D reconstruction • Generalizable ...

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA

$163.10K - $201.60K/yr

... machine learning, or computer vision * A drive to learn, grow, and take on challenging problems Ways to Stand Out from the Crowd: * Hands-on experience with neural rendering (NeRF, Gaussian splatting ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA

$164.40K - $203.20K/yr

... machine learning, or computer vision * A drive to learn, grow, and take on challenging problems Ways to Stand Out from the Crowd: * Hands-on experience with neural rendering (NeRF, Gaussian splatting ...

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164.40K - $203.20K/yr

... machine learning, or computer vision * A drive to learn, grow, and take on challenging problems Ways to Stand Out from the Crowd: * Hands-on experience with neural rendering (NeRF, Gaussian splatting ...

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.

Research Scientist, Neural Reconstruction

Waabi

On-site, Remote

$155K - $269K/yr

Full-time

Posted 5 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.


This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.

You will…

- Conduct fundamental and applied research in neural reconstruction, including:

• 3DGS / NeRF

• Dynamic scene reconstruction

• Feed-forward reconstruction

• Multi-sensor scene representation learning 

- Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.

- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.

Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated first-author publications in top-tier venues on topics such as:

• 3DGS / NeRF / neural rendering

• 3D / 4D reconstruction

• Generalizable reconstruction

• Geometry-aware or multi-sensor representation learning

- Experience working with camera, LiDAR, maps, and large-scale driving datasets.

- Strong background in graphics, geometry, rendering systems, or simulation.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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.