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Neural Engineering Research Scientist Jobs (NOW HIRING)

Waabi

Research Scientist, Neural Reconstruction

$155K - $269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural ... You have worked in a close-knit team of researchers and engineers and have strong communication to ...

Abbott

Research Scientist II

Plano, TX · On-site

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural ...

Abbott

Research Scientist II

Plano, TX · On-site

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural ...

Abbott

Research Scientist II

Plano, TX · On-site

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Tissue engineering * Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural ...

Scaled Cognition

Research Scientist

New York, NY · Remote

As a Research Scientist at Scaled Cognition you will: * Develop and implement novel, next ... generation neural architectures. * Work closely with machine learning and product engineers to ...

Scaled Cognition

Research Scientist

Boston, NY · On-site

As a Research Scientist at Scaled Cognition you will: * Develop and implement novel, next ... generation neural architectures. * Work closely with machine learning and product engineers to ...

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Neural Engineering Research Scientist information

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How much do neural engineering research scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for neural engineering research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Neural Engineering Research Scientist jobs?

For Neural Engineering Research Scientist jobs, the most frequently searched job titles are:

Infographic showing various Neural Engineering Research Scientist job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, Neural Reconstruction

San Francisco, CA • On-site, Remote

Waabi
See more jobs at Waabiexternal

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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