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Remote Neural Engineer Jobs in Colorado (NOW HIRING)

The R&D Team at Tomorrow.io is a dynamic mix of scientists and engineers. Our mission is to ... Knowledge of satellite remote sensing and experience working with satellite observations.

Remote Neural Engineer information

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 job categories do people searching Remote Neural Engineer jobs in Colorado look for?

The top searched job categories for Remote Neural Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Neural Engineer jobs?

Cities in Colorado with the most Remote Neural Engineer job openings:

Machine Learning Engineer

AMP: AI-Powered Sortation for Waste and Recycling

Louisville, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

AMP is applying AI-powered sortation at scale to modernize the world's recycling infrastructure and maximize the value in waste. AMP gives waste and recycling leaders the power to harness AI to reduce labor costs, increase resource recovery, and deliver more reliable operations. With hundreds of deployments across North America, Asia, and Europe, AMP's technology offers a transformational solution to waste sortation and changes the fundamental economics of recycling.

Headquartered in Louisville, Colorado, the Denver Post and BuiltIn Colorado have recognized AMP as one of the state's top workplaces. AMP has operations and career opportunities outside of Atlanta, Cleveland, Portsmouth, Virginia, and Europe. We're fostering an environment where passionate individuals can grow and create impact. We seek unconventional thinkers to join our mission to enable a world without waste; at AMP, your contributions have meaning and can spur change. With backing from top-tier investors and national recognition including North American Cleantech Company of the Year, we're always seeking ways to better our operations, raising the bar on innovation, and looking to collaborate and improve in what we do. Learn more at AMPSortation.com. 

AMP Robotics is hiring a Machine Learning Engineer reporting to the Engineering Manager of Perception to focus on developing our deep learning and other machine learning models and shipping them to production. AMP doesn't just do machine learning, we are driven forward by it. Our core technology revolves around deep-learned models applied to robotics domains, and we are always striving to improve our performance. In pursuit of this, AMP is looking for a highly skilled individual to join our machine learning team and aid in building out cutting edge computer vision technology. In this role, you would be an individual contributor on our perception team, working on deep learning and computer vision research and development projects to help us implement state of the art deep learning techniques, and helping to develop new applications by working hands-on with data, modeling, and evaluation. You would aid in bringing models from ideation all the way through to production, and help us to maintain our technological edge.

As our Machine Learning Engineer, you will work to:

  • Experiment with modern neural network architectures or techniques driven by research publications.
  • Design and implement machine learning perception solutions in new domains.
  • Design and execute experiments to validate R&D deep learning approaches.
  • When experiments have positive results, design a path to production to deliver impact to our facilities.
  • Collaborate with AI Data Team project managers, ML modeling engineers, and Cloud infrastructure engineers.
  • Serve as a subject matter expert for experiment design and statistical modeling for the Software organization, applying these skills to non deep learning projects when relevant.
  • Help us support and improve our ML infrastructure.

The successful candidate will have:

Required:

  • Master's degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience.
  • 4+ years' experience writing production-level code in python.
  • 4+ years of experience implementing statistical models in production environments.
  • Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong familiarity with PyTorch.
  • Strong familiarity with experiment design and experiment execution.
  • Research fluency with a deep learning domain.

Preferred: 

  • 3+ years of experience with deep learning, particularly computer vision.
  • Proficiency with neural network quantization, acceleration, and inference tools, particularly TensorRT.
  • Familiarity and interest in research-level mathematics.
  • Proficiency working with SQL databases and data pipelines.
  • Experience deploying large-scale and small-scale models in low-latency environments.
  • Startup ready mentality.
  • Passion for recycling, robotics and changing the world.

Working Conditions/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at a time.

Remote or Hybrid: 

  • Full-remote with regular travel to AMP's Louisville CO HQ or
  • Hybrid or full time in-office at AMP's Louisville CO HQ

AMP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Applicants who identify with a historically underrepresented group are encouraged to apply. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Other duties: 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

We recognize that there is more to work than the day-to-day responsibilities. In addition to a collaborative, high-performing team environment, we're pleased to offer competitive base salaries; medical, dental and vision insurance; a 401(k) plan; paid time off and sick time; flexible work hours; and the opportunity to quickly accelerate your learning and growth.

Salary & Compensation information: $162,000 to $170,000 

Benefits information:

  • Medical - The company covers up 78% to 100% of the premium for Cigna healthcare plans depending on the selection. Employees pay the difference in premium if they select a more expensive plan. Up to 75% for dependents. 
  • Dental, Vision, Short- and Long-Term Disability.
  • 401(k) retirement plan (non-matching).
  • Flexible Time Off
  • 6 paid sick days.
  • Eight (8) paid holidays