Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Applying clustering algorithms and/or deep neural networks to real life problems * Implementing ...
Remote (but need someone local to - Denver, CO 80237) Duration: July 15, 2025 - February 27, 2026 ... Working with cross-functional teams and stakeholders, including engineering, product, and business ...
Remote (but need someone local to - Denver, CO 80237) Duration: July 15, 2025 - February 27, 2026 ... Working with cross-functional teams and stakeholders, including engineering, product, and business ...
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.
What engineers make $300,000 a year?
Senior neural engineers or AI/ML engineers with extensive experience, advanced skills in deep learning, and specialized knowledge in neural interfaces can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as biotechnology, aerospace, or tech giants. Compensation varies based on location, company size, and individual expertise.
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 engineers make $500,000?
Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups focused on neural interfaces and AI development.
What is the difference between Remote Neural Engineer vs Remote Data Scientist?
| Aspect | Remote Neural Engineer | Remote Data Scientist |
|---|---|---|
| Required Credentials | Degree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfaces | Degree in computer science, statistics, or related fields; proficiency in data analysis |
| Work Environment | Research labs, tech companies, healthcare institutions with focus on neural data | Tech firms, finance, healthcare, analyzing large datasets |
| Industry Usage | Neuroscience, biomedical engineering, neurotechnology | Technology, finance, healthcare, research |
| Common Search/Comparison | Yes | Yes |
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.
What is the salary of a neuroengineer?
The salary of a remote neural engineer typically ranges from $80,000 to $150,000 annually, depending on experience, education, and the complexity of projects. Advanced skills in neural signal processing, machine learning, and experience with neurotechnology tools can influence compensation levels.
Can you work remotely as an AI engineer?
Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration.
What are popular job titles related to Remote Neural Engineer jobs in Colorado? For Remote Neural Engineer jobs in Colorado, the most frequently searched job titles are:
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:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 26 days ago
Job description
ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Responsibilities:
Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
Required Qualifications:
Preferred Qualifications:
Pay Range: $180,000 - $210,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 330 days for this position.
Location: Aurora, CO
Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Responsibilities:
Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
- Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
- Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
- Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
- Build custom applications with LLM frameworks such as LangChain, DSPy
- Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
- Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
- Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
- Interface with both internal and external leadership to communicate technical status
Required Qualifications:
- BS in machine learning, computer science, mathematics, or related fields.
- 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
- Fine-tuning foundational models
- Steering Techniques (e.g Sparse auto encoders, representation tuning)
- Building adapters to use foundational models (e.g. PEFT, llama factory)
- Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
- Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
- Using LLM Frameworks (e.g. LangChain, DSPy)
- Using AI APIs ( e.g AWS Bedrock, OpenAI)
- Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
- Developing UIs with ReAct
- Fine-tuning foundational models
- Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
- Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
- Active TS/SCI U.S. Government Security Clearance
Preferred Qualifications:
- MS or PhD in machine learning, computer science, mathematics, or related fields.
- Experience leading an interdisciplinary team of researchers and software developers
- Experience with any of the following Computer Vision domains:
- Large Language Models and experience identifying ways to incorporate them into new areas and applications
- Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
- Object detection algorithms such as YOLO and Faster-RCNN
- Natural Language Processing algorithms such as BERT
- Generative Adversarial Networks and Variational Autoencoders
- Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
- Applying clustering algorithms and/or deep neural networks to real life problems
- Implementing tracking and pattern-of-life algorithms
- Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
- Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience with implementing tracking and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
- Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
- Experience shaping and writing proposals
Pay Range: $180,000 - $210,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 330 days for this position.
Location: Aurora, CO
Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
- Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.