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Spacex Machine Learning Jobs (NOW HIRING)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Experience in analytics, data science, or machine learning PREFERRED SKILLS AND EXPERIENCE:

... 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 ...

... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ... SpaceX designs, manufactures, and launches rockets and spacecraft to facilitate space exploration.

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Experience in analytics, data science, or machine learning PREFERRED SKILLS AND EXPERIENCE:

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and ... Experience in analytics, data science, or machine learning PREFERRED SKILLS AND EXPERIENCE:

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX

$113.90K - $136.80K/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

$113.90K - $136.80K/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

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$25.5K

$42.6K

$88K

How much do spacex machine learning jobs pay per year?

As of May 30, 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 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 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 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 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:
Data Scientist (Starlink)

Data Scientist (Starlink)

SpaceX

Redmond, WA

$145K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

12th of 59 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.
DATA SCIENTIST (STARLINK)
At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to help maximize Starlink's utility for communities and businesses around the globe. As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is itself, in serving millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization as well as key contacts with various major external partners to help ensure the growth of this program.
RESPONSIBILITIES:
  • Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
  • Automate the aggregation of metrics and detection of widespread application issues across Starlink
  • Establish and maintain relationships with key third-party application/content owners
  • Lead technical investigations about chronic application-level issues
  • Build ground-based software systems that ingest, transform, and store data
  • Apply data analytics, models, and techniques to data products created by space vehicles
  • Create catalogs of data and tools that can be used by you and other teams to perform analytics
  • Fuse data from multiple sources to create usable information

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline
  • 1+ years of data/software engineering experience (internship experience is applicable)
  • Experience in analytics, data science, or machine learning

PREFERRED SKILLS AND EXPERIENCE:
  • Professional experience in analytics, data science, or machine learning
  • Experience using Spark, Presto, Flink, or Snowflake
  • Experience building solutions with Parquet, or similar storage formats
  • Knowledge of Kubernetes
  • Experience building solutions with in-stream data processing of structured and semi-structured data
  • Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection)
  • Experience in custom ETL design, implementation, and maintenance
  • Experience handling large (TB+) datasets
  • Experience with developing and deploying tools used for data analysis
  • Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
  • Ability to take on projects that require taking initiative and developing new expertise

ADDITIONAL REQUIREMENTS:
  • Must be willing to work extended hours and weekends as needed

COMPENSATION AND BENEFITS:
Pay range:
Data Engineer/Engineer I: $125,000.00 - $145,000.00/per year
Data Engineer/Engineer 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 & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year. Company shuttles are offered to employees for round trip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.
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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