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Remote Neural Network Engineer Jobs in Maryland (NOW HIRING)

Motorola

Join our team as a Cybersecurity Engineer, where you will execute and/or lead advanced security ... Perform system and network vulnerability scanning and analysis using automated and manual ...

Dragos

Junior OT/ICS Lab Engineer

Hanover, MD · Remote

$105K/yr

You understand networking fundamentals and are comfortable learning OT-specific concepts on the job ... Comprehensive Benefits Plan #LI-JF1 #LI-REMOTE #LI-NH1 #LI-REMOTE

Inspection Experts, Inc.

BAS Engineer

Columbia, MD · Remote

BAS Engineer Full-Time Remote $95,000 - $120,000 Do you have knowledge of HVAC controls systems ... Experience applying concepts, principles, and methods for network connectivity (e.g., routing ...

Motorola

... network technology for mission-critical applications - on the ground, in the air and at sea. Its ... This position is eligible for 100% remote work depending on location. The following is a list of at ...

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Remote Neural Network Engineer information

What is a remote neural network engineer?

A Remote Neural Network Engineer is a specialized software engineer who designs, develops, and maintains neural network models while working from a remote location. They use deep learning frameworks such as TensorFlow or PyTorch to build algorithms that mimic the human brain for tasks like image recognition, natural language processing, and predictive analytics. These engineers collaborate with teams virtually and leverage cloud computing resources to train and deploy models. The role requires strong programming, mathematical, and analytical skills, as well as experience working in distributed team environments.

What are the key skills and qualifications needed to thrive as a remote neural network engineer?

To thrive as a Remote Neural Network Engineer, you need a strong background in computer science, mathematics, and deep learning principles, often supported by a relevant degree and prior experience in AI or machine learning roles. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms are essential, and certifications in machine learning can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are key soft skills for collaboration and independent work. These skills and qualities ensure the engineer can design, implement, and optimize neural network solutions efficiently while contributing effectively to distributed teams.

How does a remote neural network engineer typically collaborate with cross-functional teams when working from a distance?

As a Remote Neural Network Engineer, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is primarily facilitated through virtual communication platforms and project management tools. Regular video meetings, code reviews, and shared documentation are essential to ensure alignment on project goals and progress. Clear communication and proactive sharing of updates are crucial to overcoming the lack of in-person interaction. Additionally, remote engineers often use collaborative coding environments and version control systems to streamline joint development efforts and maintain code quality.

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

AspectRemote Neural Network EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with neural networks and deep learning frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentRemote, tech companies, AI research labsRemote or on-site, diverse industries including finance, healthcare, tech
Industry UsagePrimarily in AI, machine learning, and deep learning projectsData analysis, predictive modeling, business insights

While both roles involve working with data and machine learning, a Remote Neural Network Engineer specializes in designing and implementing neural network models, often requiring deep learning expertise. A Data Scientist focuses on analyzing data to extract insights, using a broader set of tools including statistical methods and machine learning. The roles overlap in skills but differ in focus and application.

What are popular job titles related to Remote Neural Network Engineer jobs in Maryland?

For Remote Neural Network Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Neural Network Engineer jobs in Maryland look for?

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

What cities in Maryland are hiring for Remote Neural Network Engineer jobs?

Cities in Maryland with the most Remote Neural Network Engineer job openings:

Remote Neural Network Engineer jobs near you

NS-Senior Systems Engineer (Tactical Network / SATCOM / RF)

NETSEA Technologies

Aberdeen, MD • On-site, Remote

$112K - $153K/yr

Full-time

Re-posted 8 days ago

Job description

Clearance: Clearance Level: U.S. Citizen with Secret clearance

Location: APG, MD (Remote)

The Senior Systems Engineer provides end-to-end systems engineering support for complex DoW tactical communications systems, with emphasis on integrated network, RF, and SATCOM architectures. This role leads requirements development, system integration, and technical oversight across the system lifecycle to ensure operational effectiveness, interoperability, and mission readiness:

Key Responsibilities

  • Lead systems engineering activities across the lifecycle (requirements, design, integration, test, fielding, sustainment)
  • Translate Operational Needs Statements (ONS), Capability Production Documents (CPD), and stakeholder requirements into technical solutions
  • Develop and maintain system architectures aligned to Army tactical network baselines (e.g., WIN-T, T2C2, NGC2 evolution)
  • Ensure integration of RF, SATCOM, and IP-based transport systems into unified architectures
  • Support engineering working groups, IPTs, and technical reviews (SRR, PDR, CDR)
  • Conduct interoperability assessments across joint, coalition, and commercial interfaces
  • Provide technical oversight of lab integration, field testing, and technology insertion efforts
  • Develop technical documentation (CONOPS, architecture diagrams, interface control documents, test plans/reports)
  • Support system-level troubleshooting, root cause analysis, and operational assessments
  • Interface with Government stakeholders, PMs, and industry partners

Required Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field (Master's preferred)
  • 8-12+ years of relevant experience
  • Deep understanding of DoW systems engineering processes and lifecycle frameworks
  • Experience with Army Tactical Networks (WIN-T or successor systems)
  • Familiarity with SATCOM architectures (TDMA/FDMA), RF systems, and waveform integration
  • Strong knowledge of IP networking concepts and protocols
  • Experience with DoDAF, architecture development, and system documentation
  • Ability to obtain/maintain Secret clearance (or higher)

Desired Qualifications

  • Experience supporting Army - PEO C3T / C5ISR / DEVCOM programs
  • INCOSE certification (ASEP/CSEP/ESEP)
  • Familiarity with ATO/Authority to Operate processes
  • Experience with modeling/simulation tools

Travel

  • Up to 20-30% (fielding, exercises, integration events)
Employment Type: FULL_TIME

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