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Remote Neural Network Engineer Jobs in Houston, TX

The Shipping Network Engineer supports and designs shipboard and shore-side network infrastructure ... The role focuses on vessel deployments, network device lifecycle management, remote connectivity ...

Network Engineer 3

Houston, TX · On-site +1

$70K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Network Engineer 3's primary duty involves design work, specifically designing a tailored ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Network Engineer 3

Houston, TX · On-site +1

$70K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Network Engineer 3's primary duty involves design work, specifically designing a tailored ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

OT Network & Site Infrastructure Engineer

Houston, TX · On-site +1

$118K - $137K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Partnering closely with Engineering, SCADA, and Operations teams, you'll ensure continuous, secure ... Administer secure remote access solutions including Site-to-Site VPNs, Zero Trust Network Access ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Remote DevOps Engineer

Houston, TX · Remote

$50.25 - $69/hr

Travel: onsite in Houston for week 1 - remaining weeks would be remote. Qualifications Requirements ... Background in network security (firewall management) Additional Information Devops, Network ...

Detection Engineer - REMOTE

Houston, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

Our team operates detection engineering as code, and we are looking for someone who thrives in a ... Analyze telemetry sources (e.g., Windows Event Logs, Sysmon, cloud logs, network traffic) to ...

SCADA Engineer - Level 2

Houston, TX · Remote

$105K - $125K/yr

  • Medical

  • Dental

Description Title: SCADA Engineer - Level 2 Department: Engineering Location: Houston, TX ... network vulnerabilities. * Work with SCADA, EMS, and HMI tools to optimize remote monitoring and ...

Detection Engineer - REMOTE

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Our team operates detection engineering as code, and we are looking for someone who thrives in a ... logs, network traffic) to identify detection use cases and ensure telemetry readiness. • ...

... Infrastructure, Network Engineering, Cloud Engineering, Security Operations, Enterprise ... Remote Terminal Units (RTU), Human Machine Interfaces (HMI), Historian systems, Engineering ...

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Remote Neural Network Engineer information

See Houston, TX salary details

$29.6K

$104.1K

$150.9K

How much do remote neural network engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote neural network engineer in Houston, TX is $104,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $127,500.00 per year, depending on experience, location, and employer.

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 Houston, TX?

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

What job categories do people searching Remote Neural Network Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Neural Network Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Neural Network Engineer jobs?

Cities near Houston, TX with the most Remote Neural Network Engineer job openings:

Network Engineer - Shipping

Chevron

Houston, TX • Remote

Full-time

Posted 19 days ago


Chevron rating

6.1

Company rating: 6.1 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

70th of 87 rated oil and gas companies


Job description

Total Number of Openings

1Overview:
The Shipping Network Engineer supports and designs shipboard and shore-side network infrastructure for Chevron Shipping. The role focuses on vessel deployments, network device lifecycle management, remote connectivity, operational troubleshooting and translation of network designs into deployable ship projects and field deployment instructions. This position serves as a technical contact and subject matter expert for shipboard network devices and coordinates execution with central teams, contractors and operational stakeholders.

Chevron is accepting online applications for the position IT Asset Operations Network Engineer - Shipping through August 12th, 2026, at 11:59 p.m.

Responsibilities for this position may include but are not limited to:

Network SME & Escalation: Serve as the lead technical subject matter expert and escalation point for vessel network infrastructure, firewalls, network security coordination and complex connectivity issues across the fleet.

Architecture & Standardization: Contribute to resilient, secure and compliant vessel network designs for new builds, retrofits and PCN environments, with emphasis on practical deployment and operational supportability.

Network Asset Lifecycle Management: Lead fleet-wide ALCM initiatives by coordinating network hardware refreshes, reducing technical debt and modernizing shipboard infrastructure.

Deployment Readiness & Execution: Oversee equipment staging, configuration, validation, quality assurance, implementation planning and field-ready deployment instructions for vessel work.

Cross-functional Delivery: Coordinate network projects with Network Product Line, ITOF, Fleet Technical teams, Shipping IT stakeholders and managed service providers to support delivery and operational continuity.

Vendor & Contractor Coordination: Manage vendor and contractor activities, validate quality of work and ensure alignment with design standards and operational requirements.

Application & Infrastructure Support: Provide network expertise for vessel applications and infrastructure initiatives, troubleshoot connectivity dependencies and remove technical barriers to project delivery.

Knowledge Transfer & Operational Transition: Support training, documentation, mentoring and transition to operations to strengthen internal capability and improve external service provider oversight.

Network Operations Improvement: Support reliable and efficient fleet network operations through proactive communication, prioritization, incident response and continuous improvement of connectivity, security and service delivery.

Required Qualifications:

Bachelor's degree in Information Technology, Computer Science, Network Engineering, Electrical Engineering, Telecommunications, Cybersecurity or a related technical field, or equivalent practical experience supporting network infrastructure in operational environments.

Experience designing, supporting or troubleshooting enterprise, industrial, maritime, remote-site or distributed network environments.

Working knowledge of network devices and services such as switches, routers, firewalls, wireless, remote access, segmentation, IP addressing, routing, monitoring and connectivity troubleshooting.

Experience supporting implementation planning, configuration validation, quality assurance, lifecycle refreshes or deployment readiness for network infrastructure.

Ability to coordinate technical work across centralized platform teams, vendors, managed service providers, contractors and business or operations stakeholders.

Strong written and verbal communication skills, including the ability to create practical field deployment instructions, operational transition notes and stakeholder updates.

Preferred Qualifications:

Experience supporting maritime, shipping, logistics, energy, industrial operations, operational technology, PCN or other remote asset environments.

Experience with vessel or field deployments, lab staging, network hardware logistics, shipyard execution, contractor oversight or asset lifecycle management.

Relevant certifications may include Cisco CCNA or CCNP, CompTIA Network+, CompTIA Security+, Fortinet NSE, Palo Alto Networks PCNSA or PCNSE, Check Point CCSA, Microsoft Azure Network Engineer Associate, ITIL 4 Foundation, ISA/IEC 62443 Cybersecurity Fundamentals, GICSP or similar industrial cybersecurity credentials.

Additional education or training in network security, industrial networking, OT cybersecurity, firewall policy management, wireless design, cloud networking, service management or project execution.

Experience documenting standards, runbooks, deployment procedures, knowledge transfer materials or operational handoff documentation.

Relocation Options:

Relocation may be considered.

International Considerations:

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

U.S. Regulatory notice:

Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.

Chevron participates in E-Verify in certain locations as required by law.


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About Chevron

Sourced by ZipRecruiter

Chevron is one of the world's leading integrated energy companies. We believe affordable, reliable and ever-cleaner energy is essential to achieving a more prosperous and sustainable world. Chevron produces crude oil and natural gas; manufactures transportation fuels, lubricants, petrochemicals and additives; and develops technologies that enhance our business and the industry. We are focused on lowering the carbon intensity in our operations and seeking to grow lower carbon businesses along with our traditional business lines. More information about Chevron is available at www.chevron.com.

Industry

Oil and coal products manufacturing, civic and social organizations and oil and gas extraction

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

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