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Spacex Machine Learning Jobs (NOW HIRING)

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world ...

SpaceX

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$145K - $175K/yr

DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$160K - $225K/yr

SR. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

Field AI

3D Machine Learning Engineer

Irvine, CA · On-site

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world ...

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$160K - $225K/yr

... machine learning (ML), and computer vision. As a software engineer on the NDE & Materials Software team, you will accelerate the quality, speed, and efficiency of manufacturing processes at SpaceX by ...

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$160K - $225K/yr

... machine learning (ML), and computer vision. As a software engineer on the NDE & Materials Software team, you will accelerate the quality, speed, and efficiency of manufacturing processes at SpaceX by ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA

$145K - $175K/yr

... SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

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Spacex Machine Learning information

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$25.5K

$42.6K

$88K

How much do spacex machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for spacex machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

More about Spacex Machine Learning jobs
What cities are hiring for Spacex Machine Learning jobs? Cities with the most Spacex Machine Learning job openings:
What are the most commonly searched types of Spacex Machine Learning jobs? The most popular types of Spacex Machine Learning jobs are:
What states have the most Spacex Machine Learning jobs? States with the most job openings for Spacex Machine Learning jobs include:
What job categories do people searching Spacex Machine Learning jobs look for? The top searched job categories for Spacex Machine Learning jobs are:
Spacex Machine Learning jobs near you
Infographic showing various Spacex Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% Full Time, 96% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
ML Engineer, Surrogate Modeling (Vehicle Engineering)

ML Engineer, Surrogate Modeling (Vehicle Engineering)

SpaceX

Hawthorne, CA • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
ML ENGINEER, SURROGATE MODELING (VEHICLE ENGINEERING)
Be a member of the AI for Vehicle Engineering team, focusing on developing high-performance surrogate models to solve complex physics and engineering problems for our launch vehicles and spacecraft.
Our team builds AI systems that accelerate engineering analysis, simulation, development, testing, avionics design, flight data review, logistics, and mission operations. Your work will directly support the world's largest communication and AI satellite constellations, accelerate rapid reuse of the Falcon launch vehicle, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
In this role, you will develop, train, tune, and deploy AI surrogate models to dramatically accelerate engineering simulations, including but not limited to FEA, CFD, thermal, and structural analysis. You will work closely with hardware, simulation, and domain engineers to build these systems from the ground up. You will leverage state-of-the-art surrogate modeling techniques and create novel methodologies that push the frontier of what is possible in ML for physics while tackling real-world problems.
Aerospace experience is not required. We are looking for smart, motivated, collaborative engineers who love applying machine learning to hard scientific problems and want to make a direct impact on SpaceX's mission.
RESPONSIBILITIES:
  • Develop, train, evaluate, and deploy production-grade AI surrogate models that accelerate critical engineering simulation workflows
  • Design and implement State-of-the-Art (SOTA) neural architectures and training strategies tailored to complex engineering problem domains
  • Build scalable data pipelines to preprocess, manage, and utilize tens of thousands of high-fidelity simulation results
  • Stay current with the latest research in neural operators, physics-informed ML, and surrogate modeling, implementing new techniques when needed
  • Collaborate with peers on architecture, design, and code reviews
  • Deep dive into engineering problems to identify where AI can deliver the highest leverage and most reliable solutions
  • Develop and apply techniques for uncertainty quantification, active learning, and inverse problems (e.g., geometry and shape optimization)
  • Ensure all AI systems are rigorously validated and vetted for accuracy, robustness, and reliability in engineering use

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, engineering, math, physics, or a related technical discipline; OR 4+ years of professional experience building software in lieu of a degree
  • 1+ years of software development experience in Python for machine learning, AI, or data science applications

PREFERRED SKILLS:
  • Master's or PhD in computer science, machine learning, engineering, or a related field with a focus on surrogate modeling or AI for scientific/engineering simulation
  • Demonstrated experience training, tuning, and deploying production-grade ML surrogate models in real engineering workflows
  • Expert-level understanding of at least one modern architecture class such as Fourier Neural Operators (FNO), neural operators, MeshGraphNet, Transolver, graph neural networks, physics-informed neural networks, or other surrogate model architecture
  • Experience solving inverse problems such as geometry optimization or design under uncertainty
  • Strong understanding of traditional simulation and numerical methods (CFD, FEA, thermal analysis, etc) and how to integrate them with surrogate models
  • Experience with uncertainty quantification techniques for surrogate models
  • Hands-on experience building active learning or adaptive sampling pipelines
  • Proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with surrogate modeling libraries such as NVIDIA PhysicsNemo or similar
  • Experience developing on Linux systems with GPU accelerators
  • Strong understanding of software engineering best practices including version control, testing, and continuous integration
  • Solid foundation in statistics, numerical methods, and core machine learning algorithms

ADDITIONAL REQUIREMENTS:
  • Ability to work extended hours and weekends as necessary

COMPENSATION AND BENEFITS:
Pay Range:
AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year
AI Software Engineer/Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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