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Spacex Machine Learning Jobs (NOW HIRING)

SpaceX

Data Engineer (Starlink Growth)

Bastrop, TX

$113K - $136K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX

$113K - $136K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

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

Data Engineer (Starlink Growth)

Redmond, WA

$145K - $175K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA

$160K - $225K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... machine learning and AI to improve manufacturing processes. Responsibilities : • Own software architecture and quality of simulation software used across SpaceX. • Develop and optimize next ...

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All JobsSpacex Machine Learning Jobs

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 22, 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.
Sr. Software Engineer (Vehicle Engineering)

Sr. Software Engineer (Vehicle Engineering)

SpaceX

Hawthorne, CA

$124K - $163K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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.
SR. SOFTWARE ENGINEER (VEHICLE ENGINEERING)
Be a member of the Artificial Intelligence Software Engineering team focusing on solving complex AI data problems for our launch vehicles and spacecrafts.
Our team is creating AI systems to accelerate software development and test, avionics design, flight data review, logistics and mission operations. Your work will directly support the world's largest satellite communication and AI 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.
The role will consist developing core AI technologies to accelerate engineering. You will be responsible for training internal engineering models on SpaceX data. This will consist of training models from scratch, fine tuning models, and using Reinforcement Learning (RL) to post train LLMs. You will also employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data. You will also be responsible for working with a diverse set of AI technologies including building Agentic engineering tools, including engineering RAG based tool, and engineering MCP servers. The AI tools and models will used to help engineers rapidly design and test space hardware including electronics and propulsion systems. The team will work closely with engineers throughout the company to create new AI systems to unlock engineering bottlenecks and transform how engineering data is accessed and used at SpaceX.
Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission. You will have full ownership of challenging problems and work with a team of enthusiastic engineers to design and produce AI solutions that enable SpaceX to move towards our goals at a rapid pace.
RESPONSIBILITIES:
  • Design and train highly reliable, scalable AI/ML models that empower engineers across all SpaceX departments
  • Design agentic AI systems and multi-agent workflows to perform engineering tasks
  • Build and optimize large-scale machine learning training pipelines to create next-generation AI applications that transform day-to-day engineering operations
  • Develop and fine-tune foundation models (LLMs, vision models, multimodal systems) for high-impact SpaceX use cases
  • Create production-grade AI tools for data analysis, anomaly detection, predictive modeling, and automated decision-making
  • Collaborate with peers on AI architecture, model design, training strategies, and code reviews
  • Rapidly build and iterate on AI prototypes, rigorously quantifying model performance, accuracy, and technical constraints
  • Own the complete AI model lifecycle - from data preparation and training infrastructure to deployment, monitoring, and continuous improvement
  • Deep-dive into complex engineering problems to identify and implement efficient, custom-trained AI solutions
  • Establish rigorous AI standards for model validation, safety, reliability, bias mitigation, and data security
  • Ensure all AI systems undergo thorough testing and validation to deliver accurate, trustworthy, and production-ready outputs

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
  • 5+ years of experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems (professional and personal projects are applicable)
  • 5+ years of programming experience in Python

PREFERRED SKILLS AND EXPERIENCE:
  • Strong hands-on experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems
  • Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning.
  • Demonstrated experience training and fine-tuning large language models (LLMs) and other foundation models at scale
  • Proven track record training and optimizing machine learning models for computer vision (object detection, segmentation, 3D reconstruction, etc.)
  • Deep expertise with modern ML frameworks: PyTorch, TensorFlow, JAX, or equivalent
  • Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking
  • Strong understanding of MLOps best practices: model versioning, experiment management (MLflow, Weights & Biases, etc.), CI/CD for ML, and automated retraining
  • Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms, and model evaluation
  • Proficiency developing on Linux systems
  • Solid understanding of version control (Git), testing, continuous integration, deployment, and monitoring for ML systems
  • Experience building complexagentic AI systems and multi-agent workflows
  • Experience with data infrastructure for training: relational databases (PostgreSQL), non-relational databases, data lakes, and feature stores (vector databases are a plus)
  • Experience deploying containerized applications using Docker and Kubernetes

ADDITIONAL REQUIREMENTS:
  • Willing to work extended hours and weekends as needed

COMPENSATION AND BENEFITS:
Pay Range:
Software Engineer/Senior: $160,000.00 - $225,000.00/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:
    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

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