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Remote Machine Learning Robotics Jobs in Atlanta, GA

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Define and develop analytical, statistical and machine learning algorithms for advanced analysis ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Backend Developer

Atlanta, GA · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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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 May 30, 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 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.

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 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.

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:
Account Executive Southeast & Central USA

Account Executive Southeast & Central USA

FORT Robotics

Atlanta, GA • Remote

Full-time

Posted 18 days ago


Job description

In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities.

While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies.

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility.

By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure.

FORT Robotics is hiring two Account Executives (AEs) to lead sales efforts across the Southeast and Central United States. Each AE will own their respective region one focused on the Southeast and one on the Central U.S. combining territory ownership with key account management to drive growth across both existing and new strategic customers.

As members of the Sales organization, these individuals will play a pivotal role in shaping FORT's go-to-market strategy for their regions. They will be responsible not only for expanding current business but also for identifying and closing new opportunities, with a path to grow into enterprise-level sales roles as FORT scales.

This is an ideal opportunity for experienced sales professionals with a proven track record selling integrated hardware and software solutions to OEMs, system integrators, and end-users in sectors such as robotics, automation, construction, agriculture, defense, and warehousing.


Key Responsibilities
  • Territory Ownership: Lead all sales activities within your assigned region — Southeast or Central U.S. — balancing new business development and the expansion of existing accounts.
  • Account Growth: Manage and grow key strategic accounts, driving deeper adoption of FORT's safety, connectivity, and control solutions.
  • Sales Strategy: Develop and execute regional sales strategies to achieve annual bookings and revenue targets.
  • Market Collaboration: Partner with marketing to tailor regional campaigns and generate qualified leads within the robotics and automation ecosystem.
  • Pipeline Development: Identify, qualify, and close new business with high-potential OEMs, system integrators, and enterprise customers.
  • Customer Engagement: Conduct regular account reviews to assess satisfaction, identify growth opportunities, and strengthen relationships.
  • Reporting & Forecasting: Provide monthly updates on regional pipeline, performance metrics, and strategic progress.
  • Industry Representation: Represent FORT Robotics at key regional and national trade shows and industry events.
  • Travel Requirements: Approximately 30–40% travel within your assigned region, with periodic trips to FORT's Philadelphia HQ for team alignment and training.

Qualifications
  • 7+ years of experience in account management, business development, or enterprise sales within industrial automation, IoT, robotics, or safety-critical technology sectors.
  • Proven success managing large territories and key accounts — including both customer acquisition and growth.
  • Strong experience selling integrated hardware/software solutions and communicating complex technical value propositions.
  • Demonstrated ability to build and grow enterprise-level relationships and navigate multi-stakeholder sales cycles.
  • Consistent record of exceeding quota in complex, technical sales environments.
  • Skilled in regional territory planning, pipeline development, and strategic account management.
  • Exceptional communication and negotiation skills, with comfort engaging senior executives and technical buyers alike.
  • Proficiency with CRM systems, Excel, and sales analytics tools.
  • Residency in the Southeast U.S. (for the Southeast role) or Central U.S. (for the Central role); proximity to major transportation hubs preferred.
  • Entrepreneurial, self-directed, and comfortable working independently while collaborating with cross-functional leadership.

Compensation

This position offers a competitive base salary plus commission, structured on a 50/50 split of base and variable pay. On-target earnings are aligned with FORT's compensation model, with meaningful upside for overperformance.