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Freelance Spacex Machine Learning Jobs (NOW HIRING)

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... machine learning algorithms • Must be willing to work extended hours and weekends as needed ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep understanding of ... Freelance autonomy with the substance of genuinely meaningful, high-impact work * Get rare, behind ...

... 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 ...

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) 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 ...

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. 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 ...

Senior Machine Learning Expert

Manhattan, NY · Remote

$95K - $118K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep expertise in machine ... Freelance autonomy with the structure of meaningful, high-impact technical work * Collaborate with ...

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Freelance Spacex Machine Learning information

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How much do freelance spacex machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for freelance spacex machine learning in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Spacex Machine Learning jobs? The most popular types of Spacex Machine Learning jobs are:
AI Software Engineer (Vehicle Engineering)

AI Software Engineer (Vehicle Engineering)

SpaceX

Hawthorne, CA • On-site

Full-time

Posted 10 hours ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies


Job description

Job Summary:
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. The AI Software Engineer will focus on solving complex AI data problems for launch vehicles and spacecrafts, developing core AI technologies to accelerate engineering and support the company's mission to enable human life on Mars.
Responsibilities:
• Design and train highly reliable, scalable AI/ML models that empower engineers across all SpaceX departments
• Design agentic AI systems and multi-agent workflows to perform engineering tasks
• Build and optimize large-scale machine learning training pipelines to create next-generation AI applications that transform day-to-day engineering operations
• Develop and fine-tune foundation models (LLMs, vision models, multimodal systems) for high-impact SpaceX use cases
• Create production-grade AI tools for data analysis, anomaly detection, predictive modeling, and automated decision-making
• Collaborate with peers on AI architecture, model design, training strategies, and code reviews
• Rapidly build and iterate on AI prototypes, rigorously quantifying model performance, accuracy, and technical constraints
• Own the complete AI model lifecycle — from data preparation and training infrastructure to deployment, monitoring, and continuous improvement
• Deep-dive into complex engineering problems to identify and implement efficient, custom-trained AI solutions
• Establish rigorous AI standards for model validation, safety, reliability, bias mitigation, and data security
• Ensure all AI systems undergo thorough testing and validation to deliver accurate, trustworthy, and production-ready outputs
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
• 1+ years of experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems
• 1+ years of programming experience in Python
Preferred:
• Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning.
• Demonstrated experience training and fine-tuning large language models (LLMs) and other foundation models at scale
• Proven track record training and optimizing machine learning models for computer vision (object detection, segmentation, 3D reconstruction, etc.)
• Deep expertise with modern ML frameworks: PyTorch, TensorFlow, JAX, or equivalent
• Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking
• Strong understanding of MLOps best practices: model versioning, experiment management (MLflow, Weights & Biases, etc.), CI/CD for ML, and automated retraining
• Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms, and model evaluation
• Proficiency developing on Linux systems
• Solid understanding of version control (Git), testing, continuous integration, deployment, and monitoring for ML systems
• Experience building complex agentic AI systems and multi-agent workflows
• Experience with data infrastructure for training: relational databases (PostgreSQL), non-relational databases, data lakes, and feature stores (vector databases are a plus)
• Experience deploying containerized applications using Docker and Kubernetes
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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