Data Scientist​/Machine Learning Engineer

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators.

Join us and take your place in space.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering,data science, Artificial Intelligence,process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, Department of War,and civilian customers.

We develop and apply state of the art artificial intelligence, machine learning, and data science technologies to aerospace and national security applications. We are looking for a motivated Staff Data Scientist /Machine Learning Engineer with a strong technical foundation and an interest in translating emerging AI research into particular, mission-relevant capabilities.

This isa full-time position based , where the final selected candidate will work ineither El Segundo,CA, Chantilly, Va or Colorado Springs, CO which requires
100% onsite work.

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

• Strong analytical,problemsolvingand critical thinking skills

• Ability to work effectively in multidisciplinary environment

• Develop and evaluate advanced AL/ML algorithms

• 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.

Minimum Requirements:

• Bachelor's degree in Computer Science, Software Engineering or other related STEM majors.

• 3 yearsor moreof experience in AI/ML, datascienceand related work

• Proven abilityin AI/ML statistical analysis, data science,and modeling.

• Demonstrated experience programming in
  
  Pythonandproven abilityin ML frameworks such asPyTorch,Tensor Flow.

• 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 andmaintaina security clearance, which is issued by the U.S.government. U.S.citizenship isrequiredto obtain a security clearance.

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

Advanced degreein Data Science, computervisionor 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 andoptimizingML models for cloud, HPC, and edge-computing environment

• Experience developing simulation-based AI/ML solution

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills.

(Min
- Max)

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want…