... and optimize large-scale machine learning training pipelines to create next-generation AI ... SpaceX use cases • Create production-grade AI tools for data analysis, anomaly detection ...
... and optimize large-scale machine learning training pipelines to create next-generation AI ... SpaceX use cases • Create production-grade AI tools for data analysis, anomaly detection ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... Partner across software engineering, security, program management, and business teams to define ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...
Machine Learning Engineer
Chantilly, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and ... Transform machine learning models into deployable APIs and integrate them with existing ...
Machine Learning Engineer
Chantilly, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and ... Transform machine learning models into deployable APIs and integrate them with existing ...
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 ...
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 ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance health ... engineers, data roles, product managers, and hardware. Founded in 2021, the company is ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance health ... engineers, data roles, product managers, and hardware. Founded in 2021, the company is ...
Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Comfortable setting up and managing distributed computing environments * Experience in designing ...
Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Comfortable setting up and managing distributed computing environments * Experience in designing ...
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/yr
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/yr
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Machine Learning Engineer
Fort George G Meade, MD · On-site
$120 - $180/hr
You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value. Key Responsibilities
Machine Learning Engineer
Fort George G Meade, MD · On-site
$120 - $180/hr
You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value. Key Responsibilities
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/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 ...
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/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 ...
... management in machine learning. * This position is remote
... management in machine learning. * This position is remote
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Model development, deployment, optimization, and lifecycle management Strong Fit Profile A strong candidate will have experience building and deploying machine learning models from end to end. They ...
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Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Model development, deployment, optimization, and lifecycle management Strong Fit Profile A strong candidate will have experience building and deploying machine learning models from end to end. They ...
Machine Learning Engineer
Mahwah, NJ · On-site
Build and manage datasets, including data collection, labeling, preparation, augmentation, and validation. Own the full machine learning lifecycle, from data preparation and model training through ...
Machine Learning Engineer
Mahwah, NJ · On-site
Build and manage datasets, including data collection, labeling, preparation, augmentation, and validation. Own the full machine learning lifecycle, from data preparation and model training through ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... Experience with cloud computing to develop models, manage data, etc. (AWS, Azure, GCP) * Strong ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... Experience with cloud computing to develop models, manage data, etc. (AWS, Azure, GCP) * Strong ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Machine Learning Engineer
San Mateo, CA · On-site +1
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/yr
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Sr. Software Engineer (Data Science/Data Engineering)
Bastrop, TX · On-site
$113K - $136K/yr
Experience with machine learning libraries like SciPi and PyTorch * Experience with data ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...
Manager Spacex Machine Learning information
What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?
| Aspect | Manager Spacex Machine Learning | Data Scientist Spacex |
|---|---|---|
| Credentials | Advanced degrees in CS, ML, or related fields; leadership experience | Degree in CS, Data Science, or related fields; strong analytical skills |
| Work Environment | Team leadership, project management, strategic planning | Data analysis, model development, experimentation |
| Industry Usage | Oversees ML teams, manages projects, aligns with business goals | Builds models, analyzes data, provides insights |
The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.
What cities are hiring for Manager Spacex Machine Learning jobs?
Cities with the most Manager 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 Manager Spacex Machine Learning jobs?
States with the most job openings for Manager Spacex Machine Learning jobs include:
Full-time
Re-posted 2 days ago
SpaceX rating
8.7
Based on 149 frontline employees who took The Breakroom Quiz
17th of 72 rated aerospace companies
Job description
Job Summary:
SpaceX is actively developing technologies to enable human life on Mars. 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 rapid reuse of the Falcon launch vehicle.
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.
SpaceX is actively developing technologies to enable human life on Mars. 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 rapid reuse of the Falcon launch vehicle.
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.
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