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Spacex Machine Learning Jobs in Seattle, WA (NOW HIRING)

Director of Product, AI

Bellevue, WA · On-site

$263K - $275K/yr

... SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged ... In-depth knowledge of artificial intelligence, machine learning, and data science concepts ...

Showing results 41-57

Spacex Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do spacex machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for spacex machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 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 the key skills and qualifications needed to thrive as a SpaceX machine learning engineer?

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 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 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 Seattle, WA?

The most popular types of Spacex Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Spacex Machine Learning jobs in Seattle, WA?

For Spacex Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Spacex Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Spacex Machine Learning jobs in Seattle, WA are:

Infographic showing various Spacex Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Operations Engineer, Applied AI (Application Software)

SPACE EXPLORATION TECHNOLOGIES CORP

Redmond, WA • On-site

$100 - $165/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

Operations Engineer, Applied AI (Application Software)

Redmond, WA

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 ofenabling human life on Mars.

OPERATIONS ENGINEER, APPLIED AI (APPLICATION SOFTWARE)

As an Operations Engineer on SpaceX’s team, you will act as a key technical partner. You’ll help internal teams across different programs explore the capabilities of different platforms and design smart, effective strategies for incorporating large language models into their products and infrastructure. This hybrid role blends strong technical depth with strong interpersonal skills to empower different teams within the company to create powerful AI-powered solutions while prioritizing safety and responsible deployment.

You’ll collaborate closely with Sales, Product, and Engineering teams to support them from early exploration all the way through successful implementation. Using your engineering background, you will build practical testing approaches and create robust system designs that deliver meaningful results.

RESPONSIBILITIES:
  • Work alongside internal teams to uncover their needs and design technical approaches that closely align with their goals
  • Serve as the main technical point of contact, supporting end-to-end while coordinating with internal teams to ensure strong outcomes
  • Build prototypes and proof-of-concept applications that clearly illustrate effective ways to integrate with Spok/Grok
  • Advise on system-on-system architecture and support teams in developing advanced applications powered by LLMs – Large Language Models
  • Keep current evolving LLM technologies, best practices, and the tools commonly used in fast-moving environments
BASIC QUALIFICATIONS:
  • Bachelor’s degree in a STEM or engineering discipline
  • 1+ years of experience working in engineering or operations/process development
PREFERRED SKILLS AND EXPERIENCE:
  • Hands-on experience supporting cross- functional teams and a solid grasp of their fast-paced environment, limited resources, and specific pain points, specifically in engineering disciplines
  • Ability to code along with a track record of developing production-level applications
  • Experience with shipping real-world applications using large language models and related machine learning tools to lead cross-functional groups
  • Knowledge of common LLM techniques including prompt design, evaluation methods, agent systems, and retrieval architecture
  • Previous experience working with AI product design, development, integration, and/or test
  • Demonstrated ability to work under pressure and deliver expeditious results across multiple parallel priorities
  • Previous experience innovating process improvements, AI integrations, and AI system design in an enterprise setting
  • Positive, \"can-do\" attitude, self-starter, and ability to work in a high-pace dynamic environment
ADDITIONAL REQUIREMENTS:
  • Must be willing to work extended hours and weekends as needed
  • Must be willing to travel up to 25% of the time to visit different sites
  • Ability to pass Air Force background checks for Cape Canaveral and Vandenberg
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered
COMPENSATION AND BENEFITS:

Pay Range: Level 1: $100,000.00 - $135,000.00 Level 2: $115,000.00 - $165,000.00

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 in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.

  • 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.

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US