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Spacex Machine Learning Jobs (NOW HIRING)

Sr. Industrial Hygienist

Mcgregor, TX

$14.50 - $18/hr

SR. INDUSTRIAL HYGIENIST As part of the SpaceX Environmental, Health and Safety (EHS) team, you ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

Sr. Industrial Hygienist

Bastrop, TX

$16.25 - $20.25/hr

SR. INDUSTRIAL HYGIENIST As part of the SpaceX Environmental, Health and Safety (EHS) team, you ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX · On-site

$113K - $136K/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 ...

Data Engineer (Starlink Growth)

Bastrop, TX · On-site

$113K - $136K/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 ...

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Spacex Machine Learning information

See salary details

$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:
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, Computer Vision

Sr. Software Engineer, Computer Vision

SpaceX

Hawthorne, CA

$160K - $225K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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

SR. SOFTWARE ENGINEER, COMPUTER VISION

We are looking for exceptional, driven, adaptable, and resilient senior software engineers who are technical leaders and experts in artificial intelligence (AI), 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 owning end-to-end solutions - from model development to production deployment and monitoring.

Our team is building the next generation of in-process monitoring tools for SpaceX as we develop the Starship, Raptor, and Starlink programs. We deliver high-impact solutions through advanced AI models and scalable simulation with a focus on non-destructive evaluation (NDE) and materials engineering applications. As a technical leader, you will guide the team in applying cutting-edge AI to these manufacturing challenges.

RESPONSIBILITIES:

  • Lead computer vision model development and deployment for real-time inspection and automated defect recognition in production-scale manufacturing
  • Architect and implement pipelines for scalable model training, evaluation, deployment, monitoring, and retraining using industry-standard tools like Ray Train/Serve, Kubeflow, Airflow, or equivalent
  • Develop software to integrate hardware, sensors, and tooling (including sensor fusion) with AI-driven process monitoring systems
  • Build and optimize data pipelines from production lines, incorporating real-time stream processing and inference
  • Collaborate with part/process engineers, NDE engineers, and materials scientists to link advanced models and outputs to manufacturing
  • Lead design and code reviews, technology evaluations, and enforce best practices (e.g., style, CI/CD, accuracy, testability, efficiency, and standards)

BASIC QUALIFICATIONS:

  • Bachelor's degree in computer science, engineering, math, physics, or related STEM discipline; OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu of a degree
  • 5+ years of software development experience
  • 3+ years deploying AI models to production environments
  • 3+ years of software engineering experience
  • 3+ years of experience leveraging Python for data analysis

PREFERRED SKILLS AND EXPERIENCE:

  • Proven track record as a technical leader in software projects involving AI/ML
  • Hands-on experience deploying computer vision models for real-time manufacturing inspection and defect detection
  • Strong development experience in Python and C++ (or similar), with expertise in ML frameworks like PyTorch or JAX
  • Hands-on experience with computer vision libraries (e.g., OpenCV)Experience fine tuning and adapting state-of-the-art models, such as transformers and vision transformers, to production environments
  • Experience fine-tuning LLMs or vision-language models and building agentic tools
  • Experience deploying applications at scale with Docker, Kubernetes, and cloud/edge inference for factory automation
  • Expertise in machine learning/LLM operations including model versioning, A/B testing, drift detection, and orchestration with Kubeflow, Ray, MLFlow, or similar
  • Stream processing with Apache Kafka, RabbitMQ, or equivalent
  • Database expertise in PostgreSQL or similar and data tools (Prometheus, Grafana, Jupyter)
  • Strong linux experience
  • Experience applying AI to physics or simulation domains, using physics-informed neural networks (PINNs) or surrogate modeling

ADDITIONAL REQUIREMENTS:

  • Ability to work extended hours and weekends as necessary
  • Ability to travel to other SpaceX sites as needed (up to 20%)

COMPENSATION AND BENEFITS:    

Pay range:    
Sr. Software Engineer: $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 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.


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