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Spacex Machine Learning Jobs in Texas (NOW HIRING)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Responsible for root cause analysis reports to feedback learning and improvement opportunities to ...

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Support commodities such as machined parts, electromechanical equipment, large machining, finish ...

Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating ... Train Machine Learning (ML) models on existing and custom datasets and support collection and ...

Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating ... Train Machine Learning (ML) models on existing and custom datasets and support collection and ...

Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating ... Train Machine Learning (ML) models on existing and custom datasets and support collection and ...

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Spacex Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do spacex machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for spacex machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do at SpaceX?

A Machine Learning Engineer at SpaceX applies advanced data analysis, artificial intelligence, and machine learning techniques to solve complex aerospace challenges. This includes developing predictive models, automating data processing, and improving spacecraft systems such as guidance, navigation, and control. They work closely with software, hardware, and engineering teams to integrate ML solutions into real-world spaceflight applications, enhancing mission efficiency and safety. Their work can impact areas like rocket trajectory optimization, anomaly detection, and even autonomous spacecraft operations.

What are some typical challenges faced by machine learning engineers at SpaceX, and how are they addressed within the team?

Machine learning engineers at SpaceX often face unique challenges such as working with large-scale, high-fidelity data from rockets and spacecraft, as well as ensuring models perform reliably in mission-critical environments. These challenges are addressed through close collaboration with aerospace engineers, frequent code and model reviews, and rigorous testing in simulated and real-world conditions. Team members are encouraged to share insights and best practices, fostering a supportive environment where creative problem-solving and continuous learning are highly valued.

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

To thrive as a SpaceX Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with large-scale data analysis. Proficiency in Python, TensorFlow or PyTorch, and experience with cloud computing platforms or high-performance computing systems are commonly required. Exceptional problem-solving skills, collaboration, and adaptability enable engineers to tackle complex challenges in a fast-paced, innovative environment. These skills are crucial for developing robust, scalable AI solutions that drive SpaceX's technological advancements in aerospace.

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

AspectSpacex Machine LearningSpacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related fields; experience in ML algorithmsDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentResearch and development teams focused on AI models and automationData analysis, visualization, and reporting within engineering teams
Employer & Industry UsagePrimarily in AI/ML projects for automation, navigation, and roboticsData analysis and insights for engineering, operations, and product development

Spacex Machine Learning specialists focus on developing AI models and algorithms for automation and robotics, requiring deep technical expertise in machine learning. Spacex Data Scientists analyze data to inform decisions and optimize processes, often working with large datasets. While both roles require strong technical skills, Machine Learning roles are more research-oriented, whereas Data Scientists focus on data analysis and interpretation within the SpaceX environment.

What are the most commonly searched types of Spacex Machine Learning jobs in Texas? The most popular types of Spacex Machine Learning jobs in Texas are:
What are popular job titles related to Spacex Machine Learning jobs in Texas? For Spacex Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spacex Machine Learning jobs in Texas look for? The top searched job categories for Spacex Machine Learning jobs in Texas are:
Infographic showing various Spacex Machine Learning job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 12% Full Time, 83% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Machine Maintenance Supervisor (Starlink) - Multiple Shifts

Machine Maintenance Supervisor (Starlink) - Multiple Shifts

SpaceX

Bastrop, TX

Other

Posted 3 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies


Job description

MACHINE MAINTENANCE SUPERVISOR (STARLINK) - MULTIPLE SHIFTS

At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to 9M+ users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to help maximize Starlink's utility for communities and businesses around the world.

SpaceX is looking for an experienced machine maintenance supervisor to oversee maintenance activities that support the Starlink program. The maintenance supervisor will be responsible for building the team and developing all the processes necessary to create a high performing maintenance department. This candidate should have strong leadership skills and extensive experience managing schedules and workflows while working in a fast paced environment, .

RESPONSIBILITIES:

  • Build and lead a competent team of multi-skilled technicians capable of dealing with the varying process equipment supporting the build process
  • Create and update PM work plans and schedules for all assets
  • Support the engineers/planner with establishing the type of corrective maintenance and requested completion date, based on the analyses of each asset in failure, in order to create the required PM schedule
  • Partner with engineering team, keeping up to date with all new developing technology that could improve our production operations
  • Build a spares inventory that supports the maintenance strategy for each equipment type
  • Responsible for supporting the scheduler to assign technicians and contractors to complete all PM schedule
  • Responsible for supervising the execution of all maintenance work including emergency breakdown situation and monitoring progress
  • Troubleshooting as needed to ensure a timely completion
  • Communicate progress to the stakeholders at any time during the work
  • Develop and manage metrics like Uptime, OEE and mean time to repair that will steer the correct decision making in the department
  • Responsible for verifying all activities have been executed as planned and confirming that the asset is working again, according to required values
  • Establish possible residual effects and take required action to prevent problems from reoccurring
  • Responsible for root cause analysis reports to feedback learning and improvement opportunities to the maintenance engineers and asset owners to further improve maintenance performance
  • Assign the correct skills to each situation and maintain a skills matrix for all technicians and identify their training needs
  • Report and keep a daily log of activities, create major breakdown reports, and manage workforce shift utilization as well as absence request

BASIC QUALIFICATIONS:

  • Bachelor's degree and 2+ years of professional experience in machining, maintenance, or production/manufacturing; OR 5+ years of professional experience in machining, maintenance, or production/manufacturing
  • 1+ years of experience directly leading a team or project

PREFERRED SKILLS AND EXPERIENCE:

  • Degree in an engineering discipline
  • Ability to effectively communicate (verbal and written) with engineering and production teams
  • Ability to adapt to constant changing work assignments and a fast paced work environment
  • Experience applying lean manufacturing principles, and efficiency methods

ADDITIONAL REQUIREMENTS:

  • Must be willing to work all shifts, extended hours, and weekends as needed
  • Must be able to work one or more of the following shifts:
    • AWS B Shift: 5:00am-5:30pm Wednesday-Saturday
    • AWS C Shift: 5:00pm-5:30am Sunday-Wednesday
    • Split Shift: 8:00am-8:00pm Sunday-Wednesday
    • Split Shift: 8:00am-8:00pm Wednesday-Saturday
  • Ability to lift 25 lbs. unassisted
  • Ability to lift, stand, climb, bend, grasp, sit, pull, push, stoop, stretch, and carry are generally required to perform the functions of this position

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