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Remote Neural Network Engineer Jobs in Georgia (NOW HIRING)

Ditto

$223K - $259K/yr

Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto ...

iboss

Federal Software Engineer - Remote

Atlanta, GA · On-site +1

This eliminates the need for traditional network security appliances, such as VPNs, firewalls and ... To learn more, visit As a C++ Software Engineer at iboss, you will have the opportunity to work on ...

Harris

Knowledge of electric utility network data models and concepts. * Understanding of industry ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

iboss

Federal Software Engineer - Remote

Atlanta, GA · Remote

This eliminates the need for traditional network security appliances, such as VPNs, firewalls and ... To learn more, visit As a C++ Software Engineer at iboss, you will have the opportunity to work on ...

Harris

Knowledge of electric utility network data models and concepts. * Understanding of industry ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Genovice

CSV Validation Engineer

Atlanta, GA · Remote

$90K - $125K/hr

This is a remote position. SR CSV Validation Engineer Location: Remote Role type: Contract The ... Confirm that system behavior during network or power interruptions does not result in lost ...

Ditto

$185K - $227K/yr

Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto ...

Verifone

Senior Cloud Devops Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Implement and maintain cloud networking, load balancing, and DNS configurations. * Enforce AWS ... Strong Terraform skills with production-grade IaC, modules, and remote state management. * Hands-on ...

MEMX

The Software Engineer will work on the design, development, and support of the MEMX trading system ... TCP/IP UDP networking * FIX messaging * GIT/Gradle/Junit/Jira/Confluence/Jenkins/Wireshark Benefits ...

iboss

Java Software Engineer - Remote

Atlanta, GA · On-site +1

$49.75 - $68.25/hr

Description Company Overview iboss is a could delivered Zero Trust network security platform ... As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our ...

iboss

Java Software Engineer - Remote

Atlanta, GA · Remote

$49.75 - $68.25/hr

Company Overview iboss is a could delivered Zero Trust network security platform trusted by more ... As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Georgia

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 Georgia?

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

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

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

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

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

Remote Neural Network Engineer jobs near you

AI Engineer

Ditto

On-site, Remote

$223K - $259K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

About Ditto:
Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we're committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world's hardest connectivity problems.
As an AI Engineer at Ditto, you build the system that builds our software. We are moving engineering from handcraft - every change written, tested, and shipped by a person tending it one at a time - to an operated platform where agents do the work and engineers tend the agents. You will help build Symphony: the brief runtime that executes agent teams, the typed tool surface those agents reach the host through, the telemetry that makes every run measurable, and the evaluation loop that turns a bad output into a better brief instead of a hand-patched diff.
This is deliberately a blend of AI engineering and developer tooling, because at this layer they are the same job. Getting an agent to reliably build, test, and ship an iOS change is part prompt and context design, part sandboxing and process supervision, part CI and release plumbing, and entirely a measurement problem. Your users are Ditto's own engineers, and your product is the thing they run every day - so you will care as much about a clear error message and a fast local loop as you do about token cost per completed task. This role suits someone comfortable in ambiguity, opinionated about evaluation over intuition, and happy to own a system end to end.
Key Responsibilities
  • Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents - topology and handoffs, deterministic gates, the shared message bus, session lifecycle, and the recovery behavior that keeps a long run from losing its work.
  • Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks backed by reviewed repository recipes - sandboxed execution boundaries, lease handling, process-tree ownership, and MCP servers that expose our internal systems to agents safely.
  • Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run; instrument the system with per-phase timing, structured error taxonomies, and cost attribution; and use that signal to tune prompts, context, and topology rather than guessing.
  • Own the model substrate as a swappable input: Bind briefs to capability classes instead of vendor model names, work with routing and inference infrastructure across hosted and on-prem serving, and tune context, caching, and model selection against real cost, latency, and accuracy data.
  • Partner with service teams and raise the bar: Work directly with Ditto's engineering teams to turn their workflows into briefs they trust, establish the patterns others compose from, and mentor engineers as agentic development becomes the default path rather than the experiment.
What You'll Need
  • 5+ years of professional software engineering experience, including meaningful time building and operating LLM-backed systems in production - not prototypes or demos, but something real people depended on.
  • Hands-on depth with agentic systems: tool and function calling, multi-agent orchestration, context and prompt engineering, structured output, and a practical understanding of where these systems fail and why.
  • Strong developer-tooling instincts from building the things engineers depend on - CLIs, build systems, CI/CD, internal platforms - with the empathy for the daily loop that comes from having been the person on call for it.
  • A rigorous approach to evaluation. You have built evals or benchmarks, and you reach for a measurement before an opinion when arguing that one approach beats another.
  • Strong Python (async, typed interfaces, Pydantic or similar) plus the systems fundamentals to work across a polyglot codebase - processes, sandboxing, filesystems, and the ability to debug something you did not write.
  • Demonstrated ownership and strong communication, with a track record of navigating ambiguity, setting technical direction, and working effectively with internal customers in a distributed, remote-friendly team.
Nice to Haves
  • Experience with MCP - building servers or clients, and designing tool interfaces that constrain what a model can do rather than trusting it not to.
  • Sandboxing and host isolation experience: process supervision, network and filesystem boundaries, resource leases, and the operational reality of macOS toolchains, Xcode, and iOS simulators.
  • Release engineering background - bundling, artifact provenance, benchmarking against a baseline, staged promotion, and rollback you have actually rehearsed.
  • Observability and cost accounting at scale, particularly OpenTelemetry, and experience making a spend number trustworthy enough to enforce budgets against.
  • Inference infrastructure experience: model routing and serving (vLLM or similar), prefix caching behavior, GPU capacity planning, or running open-weight models on owned hardware.
  • Fine-tuning or post-training experience with open-weight models, and a view on when it is worth the cost.
  • Familiarity with Rust, Swift, or Kotlin - enough to build tooling that has to understand the repositories it operates on.
  • A track record in fast-growing or startup environments, including 0→1 platform work where adoption had to be earned team by team rather than mandated.
The Benefits of Building with Us
We offer competitive salaries and meaningful equity. We believe everyone on the team should have a stake in what we're building. Benefits vary by region to make sure you're covered in the ways that matter most. In the US, that includes health, dental, vision, life, and disability insurance, plus a 401(k) and flexible spending accounts.
Regardless of where you live, everyone at Ditto can utilize flexible time off. And while we work remotely, our Atlanta office is always open if you ever want a place to work or meet up with teammates.
Apply Anyway
At Ditto, we know game-changers don't always come wrapped in a "perfect" resume. Years of experience? Every single bullet point checked? Meh. That's not what drives us.
What does matter?
  • Grit.
  • Curiosity.
  • Adaptability.
  • And a genuine spark for what we're building.

So if you're fired up about our mission but not sure you tick every box - hit that apply button anyway. Use your application to show us how you'll make an impact here.
We're always on the lookout for exceptional humans who want to grow, stretch, and build something meaningful with us.
Equal Opportunity Employer
Ditto is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Ditto is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let us know.

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