Staff Data Scientist/Machine Learning Engineer

Staff 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 is a full-time position based, where the final selected candidate will work in either El Segundo, CA, Chantilly, VA or Colorado Springs, CO which requires 100% onsite work. Corporate Skills You'll Bring: 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 What You'll Be Doing : 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. What You Need to be Successful : Data Scientist - Data Science/Big Data Mining and Artificial Intelligence Minimum Requirements: 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, 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 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 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) $95,200.00 - $142,800.00 Pay Basis: Annual Leadership Competencies 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 individuals who: Operate Strategically Lead Change Engage with Impact Foster Innovation Deliver Results Ways We Reward Our Employees During your interview process, our team will provide details of our industry-leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include: 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 We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other—the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation. Equal Opportunity Commitment The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at View phone number on click.appcast.io or by email at View email address on click.appcast.io . 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