ZipRecruiter

Log In

1

Spacex Machine Learning Jobs (NOW HIRING)

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

Sr. Industrial Hygienist

Mcgregor, TX · On-site

$14.50 - $18/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

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $200K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and ... Professional experience in analytics, data science, or machine learning * Ability to take on ...

SpaceX

Sr. Industrial Hygienist

Hawthorne, CA · On-site

$130K - $190K/yr

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 ...

SpaceX

Sr. Industrial Hygienist

Hawthorne, CA · On-site

$130K - $180K/yr

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 ...

SPACE EXPLORATION TECHNOLOGIES CORP

... SpaceX. Strong software engineering skills and experience applying Machine Learning (ML) and AI to simulation solutions are key to success. The team consists of world‑class experts in ...

SpaceX

Sr. Industrial Hygienist

Hawthorne, CA · On-site

$130K - $180K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

SpaceX

Sr. Industrial Hygienist

Hawthorne, CA · On-site

$130K - $190K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsSpacex Machine Learning Jobs

Spacex Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do spacex machine learning jobs pay per year?

As of Sep 14, 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 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.

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:

What other helpful pages are available for Spacex Machine Learning?

Other pages related to Spacex Machine Learning:

Spacex Machine Learning jobs near you
Infographic showing various Spacex Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Full-Stack Data Scientist, Hardware Reliability (Starlink)

Bastrop, TX • On-site

SpaceX
Aerospace Product and Parts Manufacturing • 1 - 5K employees
Learn more about SpaceXexternal

Other

Posted 10 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

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.
FULL-STACK DATA SCIENTIST, HARDWARE RELIABILITY (STARLINK)
SpaceX is leveraging our experience building rockets and spacecraft to deploy Starlink, the world's largest satellite constellation and most advanced broadband internet system. We provide reliable and fast internet to millions of users worldwide, including populations with little or no connectivity, rural communities, aircraft, watercraft, and places where existing services are unreliable, too expensive, or disconnected by natural disasters. We design, build, test, and operate all parts of the system, thousands of satellites and millions of consumer antennae that allow users to connect within minutes of unboxing. The Starlink team is seeking out the best-in-class professionals to maximize Starlink's potential for communities and businesses around the globe.
As a Full-stack Data Scientist on the Starlink Reliability team, you will build the data pipelines, models, and production scoring systems that improve the reliability of Starlink customer hardware (dishes, routers, power supplies, cables). You will work from telemetry, manufacturing, inventory, field-return, and unstructured support data (tickets, chats, images) through production pipelines and deployed models, put scores into the workflows that drive replacements and support decisions, and build LLM-backed tools - retrieval, tool calling, and agentic workflows - that engineers and operators run. You will measure whether those systems reduce failures as we launch new products and scale the network. The team is based in Bastrop, on site with the factory that builds this hardware.
RESPONSIBILITIES:
  • Build and maintain data pipelines, infrastructure, and software to objectively increase the reliability of Starlink customer hardware
  • Design and operate the feature, label, and scoring data that reliability models train and serve on, including backfills, late-arriving data, and data quality
  • Train, validate, and iterate models for hardware failure prediction both in production line and field
  • Deploy and operate models in production, including scheduled scoring, versioning, monitoring, and iteration based on live results
  • Contribute to critical Starlink software repositories, working in core internal and customer-facing codebases
  • Build internal analytics tools, APIs, and applications used by hardware, production, quality, supply chain, and customer experience teams
  • Collaborate across engineering, production, test, inventory, quality, supply chain, and customer experience to turn analyses and predictions into design, process, and support changes
  • Identify customer needs, gather requirements, and execute independently in a dynamic environment with changing constraints and tight deadlines

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, mathematics, electrical engineering, or other STEM discipline
  • 4+ years of professional experience in data science, machine learning, or software engineering
  • Strong proficiency in Python and SQL
  • Experience building production data pipelines
  • Experience deploying machine learning models in production

PREFERRED SKILLS AND EXPERIENCE:
  • Master's degree in computer science, data science, mathematics, or other STEM discipline (or PhD with 3+ years of relevant experience)
  • Strong understanding of software engineering fundamentals including data structures, algorithms, system design, concurrency, and writing high-performance, maintainable code
  • Experience with relational databases, data pipeline orchestration, and large-scale data processing
  • Experience deploying, versioning, and monitoring machine learning models in production, including scheduled scoring jobs whose outputs are consumed by other systems
  • Experience building APIs or internal tools that deliver model outputs to engineering users
  • Experience shipping large language models in production, including retrieval-augmented generation (RAG), tool calling, and agentic workflows
  • Experience extracting signal from unstructured data (support tickets, chat, call transcripts, images) alongside structured telemetry and field-return data
  • Strong analytical skills: statistical analysis, data visualization, quantitative reasoning, and reliability methods (survival analysis, calibration, experimental design)
  • Familiar with at least one additional programming language (e.g. Go, Java, C++, C#)
  • Excellent written and verbal communication skills; ability to make presentations to engineers, team members, internal customers, and management

ADDITIONAL REQUIREMENTS:
  • p]:inline" data-streamdown="list-item">This position is based in Bastrop, TX (Austin area) and requires being on-site; hybrid or remote work not considered
  • p]:inline" data-streamdown="list-item">Must be willing to work extended hours and weekends as needed
  • p]:inline" data-streamdown="list-item">Must be willing to travel up to 10%

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

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

SpaceX logo

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

View All SpaceX Jobs

Apply