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Remote Neural Network Engineer Jobs in Chicago, IL

Addison Group

Cloud Security Engineer

Chicago, IL · Remote

$57 - $76.25/hr

Cloud Security Engineer Remote/Onsite : 100% Remote Required Tech/Experience (Manager won't ... Strong background in IAM, networking, and cloud security architecture Typical Day to Day (Tasks ...

Addison Group

Sr. Network Administrator

Mundelein, IL · Remote

$45 - $55/hr

Primarily remote for now, with onsite availability required for data center upgrades ... We are seeking a Senior Network Administrator / Infrastructure Engineer to provide hands-on support ...

Ascend Technologies

Desktop Engineer

Chicago, IL · Remote

Remote Exemption Status: Exempt PURPOSE: The Desktop Engineer is expected to be able to provide advanced desktop and end user support as well as assist with the support of server and network ...

Ascend Technologies

Desktop Engineer

Chicago, IL · On-site +1

Remote Exemption Status: Exempt PURPOSE: The Desktop Engineer is expected to be able to provide advanced desktop and end user support as well as assist with the support of server and network ...

Snapsheet

Senior DevOps Engineer

Chicago, IL · On-site +1

$120K - $135K/yr

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Own internal and customer-facing cloud networking (VPCs, subnets, security groups, Transit Gateway ...

Snapsheet

Senior DevOps Engineer

Chicago, IL · Remote

$120K - $135K/yr

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Own internal and customer-facing cloud networking (VPCs, subnets, security groups, Transit Gateway ...

Nexus Engineering Group

SCADA Engineer

Oak Brook, IL · On-site +1

$85K - $120K/yr

Develop and review wiring diagrams, control schematics, communication drawings, and network layouts ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

New

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

Chicago IL Jobs, FPGA Engineer, FPGA, VHDL, Verilog, Vivado, ModelSim, ISE Design, Secure IP, IP Cores, Network Protocols, Remote, Work From Home, Financial, Trading, Chicago Recruiters, Information ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Chicago, IL

Remote Neural Network Engineer information

See Chicago, IL salary details

$31.9K

$112.3K

$162.8K

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

As of Aug 15, 2026, the average yearly pay for remote neural network engineer in Chicago, IL is $112,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $137,500.00 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 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 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 are the most commonly searched types of Neural Network Engineer jobs in Chicago, IL?

The most popular types of Neural Network Engineer jobs in Chicago, IL are:

What are popular job titles related to Remote Neural Network Engineer jobs in Chicago, IL?

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

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

The top searched job categories for Remote Neural Network Engineer jobs in Chicago, IL are:

Remote Neural Network Engineer jobs near you

Cloud Security Engineer

Addison Group

Chicago, IL • Remote

$57 - $76.25/hr

Contractor

Re-posted 5 days ago

Job description

Position Title:

Cloud Security Engineer

Remote/Onsite :100% Remote

Required Tech/Experience (Manager won’t consider candidates without the following):

  1. Hands-on experience with AWS security tools (GuardDuty, CloudTrail, SecurityHub, etc.)
  2. Strong experience leveraging Terraform for infrastructure and security controls
  3. Experience with Wiz (Wiz.io)

Preferred Tech/Experience (Not required, but moves the candidate to the top of the list):

  1. Multi-cloud experience (AWS, Azure, GCP)
  2. Strong background in IAM, networking, and cloud security architecture

Typical Day to Day (Tasks & Responsibilities):

  • Get into the weeds of cloud security engineering across AWS (and potentially Azure/GCP)
  • Establish and enforce security baselines during infrastructure deployment
  • Implement alerts, monitoring, and protections across cloud environments
  • Partner with DevOps and Platform teams to embed security into infrastructure and CI/CD pipelines
  • Identify vulnerabilities and drive remediation efforts
  • Enhance cloud security posture through automation and infrastructure as code (Terraform)
  • Contribute to overall cloud security architecture and best practices

Years’ Experience/Degree Requirements/Certification:

  • 5+ years of experience in cloud security engineering
  • Strong technical background (this is not a GRC-focused role)
  • Experience across AWS required; Azure/GCP exposure is a plus

Job Description:

● Implement and optimize security controls for AWS cloud infrastructure through code.

● Monitor and review application and infrastructure security posture, initiating remediation

efforts with relevant teams.

● Recommend new or revised security measures and countermeasures for current

security challenges.

● Collaborate with DevOps and Platform teams to ensure security considerations are

embedded from the outset.

● Identify, create, and implement security standards for CI/CD pipelines and infrastructure

deployment automations.

● Oversee the implementation and administration of logging and monitoring services to

safeguard the security and integrity of applications.

● Create and maintain system documentation, architecture diagrams, and online

collaborative documentation (e.g., Wiki) with high quality.

● Work on other security engineering initiatives such as streamlining vulnerability

management and network architecture.

What you will bring to the team:

● 5+ years of demonstrable experience with AWS cloud security infrastructure and tools.

● Experience with three or more of the following AWS services: GuardDuty, CloudTrail,

CloudWatch, Inspector, SecurityHub, TrustedAdvisor, Config, ControlTower / GuardRails.

● Experience using organizational cloud governance constructs (e.g., AWS Organizations

including OUs and SCPs).

● Strong understanding and experience with IAM, including roles and policies.

● Strong understanding and experience with cloud access control & security mechanisms

(e.g., ACL, Security Groups, VPCs).

● Strong knowledge of application development, cloud networking concepts, systems

engineering, and network engineering to develop security requirements and best

practices, enterprise risk assessment methodologies

● Strong experience with Terraform.

● Strong experience with Wiz.

● Experience with CI/CD pipeline tooling (Artifactory/ECR, Github Actions)

● Able to show initiative and translate business requirements and needs into technical,

secure solutions.

● Excellent communication skills with the ability to communicate complex security

concepts clearly and concisely

● Experience with other cloud providers such as GCP, Azure, OC