Staff Data Scientist/Machine Learning Engineer

What Corporate SkillsYou’llBring

• 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

• Bachelor’s degree in Computer Science, Software Engineering or other related STEMmajors.
• 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

• 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

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 or by email at . You can also review Know Your Rights: Workplace Discrimination is Illegal.

Right Place

The Aerospace Corporation has over 26 locations nationwide, which allows us to build a workforce that will nurture the best ideas, and generate the most novel innovations and solutions to our nation’s toughest space enterprise challenges.

Right Path

Right Path Aerospace covers all stages of the space lifecycle, from concept to operations. We believe our people are our most valuable resource and that’s why we propel our employees forward in their careers through ongoing education, training, and professional development.

Right Purpose

We can all serve a mission much greater than ourselves, and at Aerospace that is exactly what we do. By hiring the industry’s most preeminent scientists and engineers, Aerospace advances emerging technologies that protect some of the most critical missions on Earth and above it.

Return to the Aerospace Careers site. Aerospace employees working in organizations with technical responsibilities are required to obtain a Security Clearance. U.S. citizenship is required for those positions.