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

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

SpaceX

Sr. Software Engineer, Data (Starlink)

Redmond, WA · On-site

$160K - $270K/yr

Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Software Engineer (Starshield)

Redmond, WA · On-site

... and machine learning • Strong background in math and physics Company : SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud ...

SpaceX

Software Engineer (Starshield)

Redmond, WA · On-site

... and machine learning • Strong background in math and physics Company : SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud ...

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All JobsSpacex Machine Learning JobsSpacex Machine Learning Jobs in Seattle, WA

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 Aug 5, 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 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?

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.

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:
Spacex Machine Learning jobs near you
Infographic showing various Spacex Machine Learning job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Senior Machine Learning Engineer

FieldAI

Seattle, WA

$180K - $215K/yr

Full-time

Re-posted 10 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do

Machine Learning modeling

  • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.
  • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making. 
  • Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
  • Explore novel data generation and collection pipelines to enrich training datasets.

Model Deployment, Monitoring & Performance

  • Assist with deploying machine learning models into production environments
  • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable
  • Troubleshoot issues related to model deployment, performance, and system integration.
What You Have

Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.

  • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.
  • Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components - including perception, prediction, and path/motion planning.
  • Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.
The Extras That Set You Apart
  • Publications in top tier ML or robotics conferences
$180,000 - $215,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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