Data Scientist/Machine Learning Engineer
Job Description
The Aerospace Corporation is seeking a Data Scientist / Machine Learning Engineer to develop and evaluate AI and ML capabilities that address aerospace and national security mission-relevant problems. This role focuses on advancing model performance and transitioning successful technologies to program customers, with work conducted 100% onsite in El Segundo, CA.
What you’ll do
- Develop and evaluate advanced AI/ML algorithms for mission needs.
- 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.
- Build data processing, model training, inference, and evaluation pipelines.
- Design experiments to assess performance, robustness, generalization, and failure modes of AI/ML systems.
- Support projects for primary customers from USSF, NRO, and IRAD through program office efforts.
- Focus on developing and advancing AI/ML models and transitioning successful capabilities to customers.
Key requirements
- Bachelor’s degree in Computer Science, Software Engineering, or other related STEM majors.
- 0-1 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 programming experience in Python, with proven ability in ML frameworks such as PyTorch and TensorFlow.
- Working knowledge of Reinforcement Learning concepts and algorithms.
- Willingness to travel approximately 10% of the time for customer meetings and technical collaboration.
- Ability to obtain and maintain a security clearance, issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.
Technologies
- Python
- PyTorch
- TensorFlow
- Reinforcement Learning (RL)
- Computer vision
- Foundation models
- Generative AI
- Multimodal learning
What you can expect
- Comprehensive health care and wellness plans.
- Paid holidays, sick time, and vacation.
- Standard and alternate work schedules, including telework options.
- 401(k) Plan: total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service, with matching contributions; immediately eligible and vested upon hire.
- Flexible spending accounts.
- Variable pay program for exceptional contributions.
- Relocation assistance.
- Professional growth and development programs.
- Education assistance programs.
- An inclusive work environment built on teamwork, flexibility, and respect.
Skills that support success
- Work well in a team environment and contribute to research initiatives and proposals.
- Strong analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a multidisciplinary environment.
How you can stand out
- Advanced degree in Data Science, computer vision, or related fields.
- Exposure developing, testing, and deploying AI/ML models.
- Strong research record with publications in top-tier conferences such as CVPR and NeurIPS.
- Experience deploying and optimizing ML models for cloud, HPC, and edge-computing environments.
- Experience developing simulation-based AI/ML solutions.
Location: El Segundo, CA (onsite)
Salary: USD 70,000 - 105,000 per year
Education: Bachelor’s degree in Computer Science, Software Engineering, or related STEM major