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Remote Neural Engineer Jobs in Washington, DC (NOW HIRING)

Sr. AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

This position is remote in Eastern US. In this role, you will have the opportunity to ... Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision, Robotics ...

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Expertise in PyTorch for building and training neural networks * Experience training and serving ...

This position is fully remote. This is a temporary position with the potential to convert to a ... Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ...

This position is fully remote. This is a temporary position with the potential to convert to a ... Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Remote Neural Engineer information

See Washington, DC salary details

$67.4K

$126.4K

$229.9K

How much do remote neural engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote neural engineer in Washington, DC is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a remote neural engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a remote neural engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

How do remote neural engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

How much money do remote neural engineers make?

Remote neural engineers typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior professionals with specialized skills in neural signal processing and machine learning can earn higher salaries, especially when working for research institutions or tech companies.

Is remote neural engineering a good career?

Remote neural engineering is a specialized field involving the development of brain-computer interfaces and neural signal processing, often requiring expertise in neuroscience, engineering, and programming. It offers opportunities in research, healthcare, and technology sectors, with a growing demand for skilled professionals due to advances in neurotechnology and remote collaboration tools.

What are the most commonly searched types of Neural Engineer jobs in Washington, DC?

The most popular types of Neural Engineer jobs in Washington, DC are:

What are popular job titles related to Remote Neural Engineer jobs in Washington, DC?

For Remote Neural Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Neural Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Neural Engineer jobs in Washington, DC are:

Sr. AI Engineer

Washington, DC • On-site, Remote


Danaher
Medical Equipment and Supplies Manufacturing • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

199th of 544 rated manufacturers

Good employer

Paid breaks

Recommended by parents


$118K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Bring more to life.

At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.

Learn about the Danaher Business System which makes everything possible.
The Sr. AI Engineer, Device Intelligence will be a key member of the AI Product and Imaging Innovation team, reporting to its Sr Director. This new role is instrumental in the implementation of cutting-edge AI systems that leverage data created by Danaher devices to extract meaningful insights and dramatically improve user experience, with the goal of upleveling Danaher's devices across Life Sciences, Diagnostics and Biotechnology sectors. This position is remote in Eastern US.

In this role, you will have the opportunity to:

  • Collaborate with the VP and the broader team to develop Enterprise grade capabilities and platforms enable the creation of intelligent instruments and autonomous labs.

  • Design and implement advanced AI systems, including next-generation multi-level and multi-domain agentic systems, to enhance instrument intelligence and lab automation, upleveling user capabilities.

  • Work closely with cross-functional and cross company teams to translate product concepts into concrete AI architectures, ensuring alignment with product success criteria and measurable KPIs.

  • Lead the technical implementation of AI projects of notable complexity, involving multiple functions and typically spanning multi-quarter timelines.

  • Drive innovation in the AI software stack, focusing on maximizing value extraction from instruments for customers through AI systems.Collaborate with business stakeholders, technical experts, and subject matter experts to build comprehensive AI roadmaps for imaging products across various verticals.

The essential requirements of the job include:

  • Bachelor's degree in computer science, electrical engineering, robotics, automation, life sciences or a related field. An advanced degree (MS or PhD) in a relevant area (i.e. Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision, Robotics) is preferred.

  • Long standing experience in the Life Science, Diagnostics, Biotechnology or Tech Industry, including multiple years of experience with Agentic Systems, LLMs, Automation, Robotics, and/or Multimodal AI. Demonstrable expertise with at least 3 of the following: convolutional neural networks, foundation models, vector databases, AI evaluation methods, RAG approaches, agentic frameworks, robotics.

  • Proven track record of successful end-to-end implementation of AI projects in imaging applications, particularly in life sciences or healthcare domains.

  • Strong programming skills in languages such as Python or C++, and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and containerization technologies (e.g., Docker, Kubernetes). Including the use of genAI and agentic systems for coding. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and familiarity with hardware acceleration technologies (e.g. TPUs, GPUs, ARM-CPUs).

  • Demonstrated ability to work effectively with cross-functional teams, communicate complex technical concepts to both technical and non-technical stakeholders, and align AI development with product goals and roadmaps.

It would be a plus if you also possess previous experience in:

  • Experience with regulatory processes, especially for medical devices and AI/ML-based software as a medical device (SaMD).

  • Familiarity with quality management systems and standards relevant to the life sciences and diagnostics industries.

  • Knowledge of instrument control mechanisms and how they integrate with AI systems for enhanced automation.

  • Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.

  • At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.

The annual salary range for this role is $135,000 - $180,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.


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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984


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Benefits

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