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# Staff Data Scientist/Machine Learning Engineer

- **Company:** The Aerospace Corporation
- **Location:** El Segundo, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $95,200.0 - $142,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Reinforcement Learning, Data Processing, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Machine Learning Operations, Multiaccess Edge Computing
- **Published:** September 16, 2026
- **Apply:** https://aero.wd5.myworkdayjobs.com/External/job/El-Segundo-CA/Staff-Data-Scientist-Machine-Learning-Engineer_R016557

## About the Role

* Must work well in a team environment, be able to contribute to research initiatives and proposals

 * Strong analytical, problem solving and critical thinking skills

 * Ability to work effectively in multidisciplinary environment, * Bachelor's degree in Computer Science, Software Engineering or other related STEM majors.

 * 3 years or more of experience in AI/ML, data science and related work

 * Proven ability in AI/ML statistical analysis, data science, and modeling.

 * Demonstrated experience programming in Python and proven ability in ML frameworks such as PyTorch, TensorFlow.

 * Working knowledge of Reinforcement Learning concepts and algorithms

 * Willing to travel approximately 10% of the time to support customer meeting and technical collaboration.

 * This position requires 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.

How You Can Stand Out

It would be impressive if you have one or more of these:

Advanced degree in Data Science, computer vision or related fields

 * 5+ years of experience in developing/testing and deploying AI/ML models

 * Strong research record with publication in top tier conferences such as CVPR, NeurIPS

 * Experienced deploying and optimizing ML models for cloud, HPC, and edge-computing environment

 * Experience developing simulation-based AI/ML solution

## Description

* Design and implement reinforcement learning (RL) solutions for decision making, autonomy, planning, optimization and control.

 * Apply deep learning, computer vision, foundation models, generative AI, and multimodal learning to mission relevant problems

 * Develop data processing, model training, inference and evaluation pipelines

 * Design experiments to evaluate performance, robustness, generalization, and failure modes of AI/ML systems

 * The primary customers are from program office supporting projects from USSF, NRO and IRAD

 * The key activity is to develop and advance AI/ML models and transition successful capabilities to customers.

What You Need to be Successful: Data Scientist - Data Science/Big Data Mining and Artificial Intelligence


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