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Spacex Machine Learning Jobs (NOW HIRING)

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$124K - $163K/yr

SpaceX is actively developing technologies to enable human life on Mars. They are seeking a Senior ... OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu ...

SpaceX

Sr. Industrial Hygienist

Bastrop, TX · On-site

$16.25 - $20.25/hr

Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

... machine learning algorithms and frameworks Company : SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

... machine learning algorithms and frameworks Company : SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in ...

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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 Jul 13, 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Sr. AI Engineer, Special Programs - Top Secret Clearance

Sr. AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Washington, DC • On-site

$117K - $161K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

7th of 61 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars, and they are seeking a Senior AI Engineer for Special Programs with Top Secret Clearance. The role involves owning strategy, execution, and deployment of mission-critical AI solutions for U.S federal agencies, while collaborating with various teams to deliver impactful projects.
Responsibilities:
• Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments.
• Identify pain points, scoping product specifications, and designing and building AI-powered software for government or enterprise use cases.
• Benchmark models and develop evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards.
• Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment.
• Analyze request logs, prompt data, or system outputs to ensure reliability and audibility.
• Build internal tooling to streamline workflows and automate repetitive tasks in secure environments.
• Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback.
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact.
Qualifications:
Required:
• Bachelor's degree in computer science, mathematics, computer engineering, physics, or data science.
• 5+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications.
• Active Top-Secret or Top-Secret SCI.
Preferred:
• Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects.
• 6+ years of software engineering experience, ideally in environments requiring high reliability or security.
• Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards.
• Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces.
• Proficiency in Python and/or TypeScript.
• Strong understanding of the HTTP protocol and secure API design.
• Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
• Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts.
• Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments.
• History of deploying machine learning models to production, ideally in secure or cloud-based government environments.
• Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers.
• Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads.
• Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments.
• Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting.
• Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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