Space ML Engineer Intern — Onsite Impact

The Aerospace Corporation; El Segundo (CA); On-site; USD 91,693,000 - 108,886,000; Full time

Benefits offered by this job

Health care

Relocation assistance

Education assistance program

Job summary

The Aerospace Corporation is hiring Machine Learning Engineering Interns for the Data Science and Artificial Intelligence Department (DSAID) within the Information Systems and Cyber Division (ISCD). The selected candidate will work full-time onsite at our El Segundo, CA facility and contribute to ML experiments across NLP, CV, and time-series domains.

Applicants should be pursuing a Master’s or PhD in CS/CE with 3.0+ GPA, strong Python and PyTorch skills, and familiarity with Docker, Kubernetes,

Qualifications

• Currently enrolled full-time in an accredited college/university program pursuing a Master's or PhD in Computer Science, Computer Engineering, or related discipline.
• Availability to work full-time for a minimum of 10 weeks outside of university term and return to a Master’s or PhD program full-time after completion of the internship.
• Minimum GPA of 3.0
• Bachelor's degree completed by internship start date
• Proficiency in Python, including major ML libraries and tools (PyTorch)
• Experience with container orchestration tooling (Docker, Kubernetes, etc.)
• Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics
• Experience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps, ML Development Lifecycle, Scalable ML Architecture, etc.)
• Familiarity with MLOps processes and tools (MLFlow, Data Version Control etc.)
• Specific experience designing either computer vision or natural language processing applications leveraging ML models.
• Experience in leveraging GPUs to scale and measure ML solution performance (NVIDIA developer tools etc.)
• Familiarity with Unix/Linux operating systems
• Experience with cloud native application development or cloud infrastructure, Microservice architectures
• This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government.
• U.S. citizenship is required to obtain a security clearance.
• Transcripts required.

Responsibilities

• Developing and executing machine learning and data science experiments, in NLP, computer vision, time series analysis, reinforcement learning, etc.
• Evaluating technologies and data science models for use in scalable and resilient mission-critical applications
• Collaborating with teams of various sizes to deliver features and products
• Presenting written and verbal results to customer stakeholders.
• Reinforcing an environment of learning and progress with team members and others

Skills

Python

PyTorch

Docker

Kubernetes

Cloud

MLops

Unix/Linux

Education

Master’s or PhD in CS/CE

Tools

Docker

Kubernetes

Job description

The Aerospace Corporation is hiring Machine Learning Engineering Interns for the Data Science and Artificial Intelligence Department (DSAID) within the Information Systems and Cyber Division (ISCD). The selected candidate will work full-time onsite at our El Segundo, CA facility and contribute to ML experiments across NLP, CV, and time-series domains.

Applicants should be pursuing a Master’s or PhD in CS/CE with 3.0+ GPA, strong Python and PyTorch skills, and familiarity with Docker, Kubernetes,