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Internship Spacex Machine Learning Jobs in Riverside, CA

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 ...

Field AI

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 · On-site

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 ...

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

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

Field AI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... and SpaceX, along with a track record of field deployments and strong performance in DARPA ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To ...

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$26.6K

$44.4K

$91.8K

How much do internship spacex machine learning jobs pay per year?

As of Jun 2, 2026, the average yearly pay for internship spacex machine learning in Riverside, CA is $44,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

How hard is it to get an internship at SpaceX?

Getting an internship at SpaceX is competitive, with applicants often having strong academic records, relevant technical skills in areas like engineering or machine learning, and prior project experience. The selection process includes multiple interviews and assessments, and candidates typically need to demonstrate problem-solving abilities and a passion for aerospace technology.

How much do SpaceX interns get paid?

SpaceX internships typically offer stipends or hourly pay, with compensation varying based on location, role, and experience. Interns often work full-time during the summer or part-time during the academic year and may receive additional benefits such as housing assistance or transportation stipends.

What is the difference between Internship Spacex Machine Learning vs Data Science Intern?

AspectInternship Spacex Machine LearningData Science Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in MLStatistics, programming, data analysis skills, often a related degree
Work EnvironmentHands-on projects in aerospace, collaborative teams, fast-pacedData analysis, modeling tasks, diverse industries, team-based
Employer & Industry UsageSpaceX, aerospace, technology innovationVarious industries including tech, finance, healthcare

Internship Spacex Machine Learning focuses on applying ML techniques to aerospace challenges at SpaceX, emphasizing engineering and technical skills. Data Science Internships are broader, covering data analysis and modeling across multiple industries. Both roles require programming and analytical skills but differ in industry focus and project scope.

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Internship Spacex Machine Learning jobs near you

3D Machine Learning Engineer

FieldAI

Irvine, CA

Other

Posted 23 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 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 Modelsâ„¢ 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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