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Remote Spacex Machine Learning Jobs in South Carolina

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · 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 ...

DISHER

Vision Engineer

Spartanburg, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

HiddenLayer

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

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Remote Spacex Machine Learning information

What does a remote SpaceX machine learning engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are the key skills and qualifications needed to thrive as a remote SpaceX machine learning engineer?

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.

What are some unique challenges of working remotely as a machine learning engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

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

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

What are the most commonly searched types of Spacex Machine Learning jobs in South Carolina?

The most popular types of Spacex Machine Learning jobs in South Carolina are:

What are popular job titles related to Remote Spacex Machine Learning jobs in South Carolina?

For Remote Spacex Machine Learning jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Spacex Machine Learning jobs in South Carolina look for?

The top searched job categories for Remote Spacex Machine Learning jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Spacex Machine Learning jobs?

Cities in South Carolina with the most Remote Spacex Machine Learning job openings:

Remote Spacex Machine Learning jobs near you
Infographic showing various Remote Spacex Machine Learning job openings in South Carolina as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 8% In-person, and 92% Remote job distribution.

Machine Intelligence Analyst- P&HVAC

Sunbelt Rentals, Inc.

Fort Mill, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Sunbelt Rentals rating

7.6

Company rating: 7.6 out of 10

Based on 319 frontline employees who took The Breakroom Quiz

96th of 175 rated vehicle equipment hire

Job description

Join Our Team!
Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.
We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees.
As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewarding career, we invite you to review our opportunities!
Job Description Summary
Position Objective:
A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data-collected from sensors and CAN bus/Modbus systems-and actionable business intelligence by automating reporting and alerting to drive predictive maintenance, fuel savings, and operational optimization.
Position Responsibilities:
  • Predictive Maintenance & Diagnostics: Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs.

  • Telematics & Data Engineering: Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time.

  • Performance Optimization: Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling).

  • Automated Alerting & Reporting: Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior.

  • Operational Safety: Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards.

Requirements:
Education & Experience:
  • Bachelor's degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles.

  • Domain Knowledge: Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic.

  • Soft Skills: Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews.

  • Predictive Maintenance Modeling: Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur.

  • Fleet & Operational Optimization: Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs.

  • Safety & Compliance Monitoring: Use AI to flag risky operator behaviors-such as harsh braking or overloading-and automate reporting for regulatory standards like OSHA.

  • Fuel Efficiency Analysis: Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%.

  • Automated Reporting & Alerting: Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing).

Essential Technical Skills
  • Data Integration: Experience with industrial communication protocols such as CAN bus and Modbus to collect data from machine control systems.

  • AI/ML Frameworks: Proficiency in Python or R, along with libraries like TensorFlow, PyTorch, or Scikit-learn for building predictive models.

  • Telematics Expertise: Strong understanding of GPS technology, onboard diagnostics (OBD), and Telematics Control Units (TCU) for remote monitoring.

  • Data Management: Skills in SQL, data cleaning, and big data tools (e.g., Hadoop, Apache Spark) to handle large volumes of sensor data.

  • Visualization: Ability to create complex queries and interactive dashboards using tools like Power BI, Tableau, or specialized construction software.

Physical Demands:
Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt's safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.
The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.
Sunbelt Rentals is an Equal Opportunity Employer - Minority/Female/Disabled/Veteran and any other protected ground
Base Pay Range: $64,790.40 - 89,086.80
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Please visit https://www.sunbeltrentals.com/careers/ for more information on our benefits and to join our Talent Network.
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
  • Health, Dental and Vision plans
  • 401(k) Match
  • Volunteer time off
  • Short-term and long-term disability
  • Accident, Life and Travel insurance, as well as flexible spending
  • Tuition Reimbursement Options
  • Employee Assistance Program (EAP)
  • Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt's policies (unless specified in a collective bargaining agreement):
  • 12-25 vacation days depending on years of service
  • 5 sick days
  • 6 holidays
  • 2 half day holidays
  • 2 floating holidays
  • 1 inclusion day
  • 1 volunteer day

Gear up for an exciting career!
Sunbelt Rentals supports service members. Veterans encouraged to apply.

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About Sunbelt Rentals

Sourced by ZipRecruiter

Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.

Industry

Consumer goods and commercial equipment rental services

Company size

10,000+ Employees

Headquarters location

Fort Mill, SC, US

Year founded

1983

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