Staff Data Scientist/Machine Learning Engineer
About The Position
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 is a full-time position based in El Segundo, CA which requires 100% onsite work.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- Comprehensive health care and wellness plans
- Paid holidays, sick time, and vacation
- Standard and alternate work schedules, including telework options
- 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
- Flexible spending accounts
- Variable pay program for exceptional contributions
- Relocation assistance
- Professional growth and development programs to help advance your career
- Education assistance programs
- An inclusive work environment built on teamwork, flexibility, and respect
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What This Job Offers
Job Type
Full-time
Career Level
Senior
