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Remote Machine Learning Robotics Jobs in Atlanta, GA

Domain Expert - (STEM PhD)

Atlanta, GA ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Data Engineer - GCP

Atlanta, GA ยท 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 ...

Senior DevOps Engineer (US REMOTE)

Atlanta, GA ยท Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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 ...

SDLC Engineer - AI Trainer

Atlanta, GA ยท 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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Showing results 1-20

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 Jul 14, 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 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:
Senior Enterprise Architect

Senior Enterprise Architect

TIER4 GROUP

Atlanta, GA โ€ข On-site, Remote

Full-time

Re-posted 9 days ago


Job description

Senior Enterprise Architect โ€“ Shape the Future of Technology

Location: Atlanta, GA* (Hybrid Remote) | Position Type: Full-Time


Are you ready to take on a career-defining opportunity as the first Senior Enterprise Architect in our organization? This is a rare and exciting "first-to-the-team" role where you will not only lead an architecture team (Data Architecture, System Architecture, Application Architecture) but also build the Enterprise Architecture function from the ground up. As a key strategic leader, youโ€™ll design and implement our technology vision, aligning it with business goals to drive innovation, scalability, and efficiency across the enterprise.


This is your chance to make a lasting impact by creating a world-class architecture function that supports a rapidly growing organization. If youโ€™re a trailblazer who thrives in greenfield opportunities, this is the role for you!


What Youโ€™ll Do


Establish and Lead the Enterprise Architecture Function

  • Develop the organizationโ€™s first-ever Enterprise Architecture framework, strategy, and roadmap.
  • Implement and chair the Architecture Review Board (ARB) to ensure alignment across business and technology.
  • Define and communicate the technology vision and lead strategic discussions with senior executives, portfolio managers, and stakeholders.
  • Build and manage a high-performing architecture team, including System Architects and Data Architects.

Design Scalable, Future-Ready Solutions

  • Lead the creation of a robust architectural runway to support Agile Release Trains (ARTs) and Solution Trains.
  • Partner with Agile Teams, Product Managers, and Solution Architects to define and implement innovative, scalable solutions.
  • Streamline the technology portfolio by identifying opportunities to reduce complexity, redundancy, and total cost of ownership.

Drive Innovation Across the Enterprise

  • Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future-proof the organization.
  • Establish and promote enterprise-wide architectural standards to ensure consistency, quality, and best practices.
  • Mentor and inspire Agile Teams to adopt Continuous Delivery Pipeline (CDP) and DevOps capabilities.

Lead Enabler Epics and Architecture Initiatives

  • Guide Enabler Epics through the Portfolio Kanban to ensure alignment with business priorities.
  • Collaborate with cross-functional teams to decompose epics into actionable features and capabilities.
  • Play a key role in SAFe (Scaled Agile Framework) events such as PI Planning, System Demos, and design reviews.

Be a Visionary Leader

  • Act as a thought leader and advocate for Lean-Agile practices across the organization.
  • Build and foster a collaborative, innovative culture focused on continuous improvement.
  • Lead a Community of Practice for architecture and mentor the next generation of technical leaders.


What Youโ€™ll Bring

  • Education: Bachelorโ€™s degree in Computer Science, Engineering, or a related field (Masterโ€™s degree or certifications like TOGAF, SAFe are a plus).
  • Experience: Minimum of 7+ years in enterprise architecture or technology leadership roles, with proven success in creating large-scale architectures.
  • Technical Expertise: Deep knowledge of Cloud, Big Data, AI, Machine Learning, system integration, IT governance, and application design. Familiarity with platforms like Salesforce, Appian, and Enterprise systems.
  • Leadership Skills: Demonstrated ability to build and lead teams, influence stakeholders, and drive organizational change.
  • Framework Knowledge: Experience with SAFe principles and Agile practices.
  • Communication Skills: Strong verbal and written communication skills to effectively bridge technical and non-technical audiences.
  • Visionary Mindset: Ability to think strategically, align technology with business goals, and implement solutions that deliver maximum value.


Why This Role?

This is more than a job; itโ€™s an opportunity to build a legacy. As the first Senior Enterprise Architect in our organization, you will have unparalleled autonomy to shape the future of technology and make a measurable impact. Youโ€™ll work alongside forward-thinking leaders in a collaborative, fast-paced environment that values innovation, leadership, and excellence.


If youโ€™re ready to lead, build, and innovate, weโ€™d love to hear from you. Apply now to take the next step in your career as a technology trailblazer!



*potentially open to remote candidates in EST or CST with willingness to travel as often as monthly