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Remote Machine Learning Robotics Jobs in Atlanta, GA

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Travelport

AI Engineer

Atlanta, GA · On-site +1

AI Engineer | US | Remote Travel obsessed? Big tech fan? Hey, you're in good company. If you want ... Apply machine learning and data analysis techniques to improve model performance * Assist in fine ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

United Airlines

Teamcenter Agentic Engineer

Atlanta, GA · On-site +1

$46K - $111K/yr

Remote (Anywhere across USA) About the job you're considering As an Agentic Engineer, you will be ... Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar technologies

DataAnnotation

QA Engineer - AI Trainer

Sandy Springs, GA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Atlanta, GA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Atlanta, GA

Remote Machine Learning Robotics information

See Atlanta, GA salary details

$31.3K

$61.3K

$95.7K

How much do remote machine learning robotics jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote machine learning robotics in Atlanta, GA is $61,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $72,100.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Atlanta, GA? For Remote Machine Learning Robotics jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Atlanta, GA look for? The top searched job categories for Remote Machine Learning Robotics jobs in Atlanta, GA are:
Remote Machine Learning Robotics jobs near you
iOS AI Mobile Engineer (Core ML & Apple Intelligence) - Q126

iOS AI Mobile Engineer (Core ML & Apple Intelligence) - Q126

R2 Technologies

Alpharetta, GA • On-site, Remote

$50.50 - $69.50/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
Job Title: iOS AI Mobile Engineer (Core ML & Apple Intelligence)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is... (Same as above)
Job Summary: Mobile apps in 2026 must be natively intelligent. R2 Technologies is looking for an iOS Mobile Engineer who understands how to bring Generative AI directly to the edge. You will build highly performant native iOS applications that leverage on-device AI-processing language and vision locally without relying solely on cloud APIs. Using modern Swift, Apple Intelligence frameworks, and AI coding assistants, you will build secure, offline-capable smart apps that deliver unparalleled user experiences.
Key Responsibilities:
  • Develop and maintain premium, high-performance native iOS applications using Swift 5.9+, SwiftUI, and modern concurrency (async/await, Actors).
  • Integrate Apple Intelligence and Core ML frameworks to run Small Language Models (SLMs) and Vision models directly on the user's device.
  • Build sophisticated voice, text, and visual interactions using App Intents and modern Siri integrations.
  • Actively utilize AI-assisted coding tools (Xcode AI, Cursor, Copilot) to accelerate UI generation, write boilerplate SwiftData models, and optimize complex logic.
  • Implement secure data pipelines that dictate what context is processed locally (on-device) versus what is sent to Private Cloud Compute or enterprise LLMs.
  • Collaborate with backend AI engineers to ensure seamless synchronization between on-device models and enterprise RAG systems.
Qualifications:
  • Up to 3 years of hands-on experience in native iOS development using Swift and SwiftUI.
  • Strong understanding of iOS application architecture (MVVM, TCA) and local state management (SwiftData).
  • Familiarity with Core ML, Vision framework, or deploying optimized on-device machine learning models.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Passion for UX excellence, mobile performance optimization, and building privacy-first AI applications.

Skills:
IOS,Apple

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