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Spacex Machine Learning Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

As a 3D Machine Learning Engineer , you will focus on designing, implementing, training, and ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

SpaceX

Data Engineer (Starlink Growth)

Bastrop, TX

$113.90K - $136.80K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Sr. Software Engineer (Vehicle Engineering)

Hawthorne, CA · On-site

$124.50K - $164.20K/yr

You will also employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data. You will also be responsible for working with a diverse set of AI technologies ...

SpaceX

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX

$113.90K - $136.80K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Sr. Software Engineer (Vehicle Engineering)

Hawthorne, CA · On-site

$124.50K - $164.20K/yr

You will also employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data. You will also be responsible for working with a diverse set of AI technologies ...

SpaceX

Data Engineer (Starlink Growth)

Bastrop, TX · On-site

$113.90K - $136.80K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX · On-site

$105.40K - $143.20K/yr

You will bring in the latest and greatest machine learning and statistical technologies to turn ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA

$160K - $225K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$160K - $225K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

... machine learning algorithms • Must be willing to work extended hours and weekends as needed ... SpaceX designs, manufactures, and launches rockets and spacecraft to facilitate space exploration.

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

SpaceX is a company focused on developing technologies for human life on Mars and is currently ... machine learning algorithms • Must be willing to work extended hours and weekends as needed ...

SpaceX

Application Software Engineer, Data

Hawthorne, CA · On-site

$145K - $175K/yr

The success of the missions at SpaceX depends on the software that you and your team produce ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

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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.

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Spacex Machine Learning jobs near you

3D Machine Learning Engineer

FieldAI

Irvine, CA • On-site

Full-time

Posted 17 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.
As a 3D Machine Learning Engineer, you will focus on designing, implementing, training, and maintaining cutting-edge 3D and multimodal machine learning models that process reality capture data such as 3D point clouds, 360 photos, and RGBD images. Your work will directly contribute to automated progress tracking, deviation analysis, and semantic scene understanding of construction sites. You will collaborate closely with software, autonomy, and product teams to ensure seamless integration of these AI models into our production environments.
What You'll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.

What You Have
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.

The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.

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. 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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