**Job Description** BAE Systems Space and Mission Systems is seeking a highly skilled Machine Learning (ML) Subject Matter Expert to join our team. As an ML expert, you will work closely with our customer (e.g., AFRL) to assess the scientific validity, robustness, and transparency of ML systems. Your expertise will be crucial in analyzing various ML systems and scientifically validating the claims made by proposed solutions. In addition to ML expertise, your skills in MBSE, software development, and/or areas such as Natural Language Processing and Large Language Models will allow you to contribute to a wide range of efforts at BAE Systems, Inc. The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical talent and organizational leadership that enables the successful delivery of high-impact discriminating technologies for our customers missions. Our collaborative, cross-functional teams are committed to innovation, integrity, continual learning and strong execution. **What You ll Do:** + Serve as a subject matter expert in machine learning. + Analyze various ML systems and scientifically validate the claims made by proposed solutions. + Evaluate the performance, robustness, and generalization of ML models, with emphasis on the following areas: + Identify weaknesses and flaws in processes and provide recommendations for improvement. + Collaborate with the team to review raw and cleaned datasets used for model development. + Perform code reviews for logical correctness, data leakage, syntax problems, and other issues. + Confirm that reported results can be reproduced using provided data and code. + Evaluate the effects of noise, missing data, and distributional shifts on model performance. + Identify overfitting indicators and document limitations and boundary conditions. + Provide technical writing of documentation and progress reports. + Maintain a regular and predictable work schedule. + Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Capabilities Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment. + Perform other duties as necessary. **On-Site Work Environment:** This position requires regular in-person engagement by working **on-site five days** each normally scheduled week in the primary work location. Travel and local commute between company campuses and other possible non-company locations may be required. **Working Conditions:** + Work is performed in an office, laboratory, production floor, or cleanroom, outdoors or remote research environment. + May occasionally work in production work centers where use of protective equipment and gear is required. + May access other facilities in various weather conditions. **Required Education, Experience, & Skills** + BS degree or higher in Engineering or a related technical field is required plus 4 or more years related experience. + Each higher-level degree, i.e., Master s Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education. + Proficiency in Python, with experience using libraries such as scikit-learn, TensorFlow, and PyTorch. + Basic understanding of API usage, Docker, and Git. + Understanding of ML system evaluation, including data pipelines, feature extraction, and model architectures. + Ability to quickly learn and understand various software libraries and technologies. + Stolid analytical and problem-solving skills, with the ability to nitpick and stress test potential concerns with software. + Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. + Ability to obtain and maintain DoW Secret clearance. \#LI-NP1 A security clearance or access with Polygraph is not required to be eligible for this position. However, the applicant must be willing and eligible for submission, depending on program requirements, after an offer is accepted and must be able to maintain the applicable clearance/access. **Preferred Education, Experience, & Skills** + MS or PhD in Computer Science, Mathematics, Statistics, or related field. + Experience in Biomedical Engineering or using data from physiological sensors to predict or measure human performance. + Active DoW clearance. + Skills in at least one of the following: MBSE, Software Development, Natural Language Processing, Large Language Models. **Pay Information** Full-Time Salary Range: $88189 - $149922 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. **Engineer Senior Machine Learning Subject Matter Expert** **121091BR** EEO Career Site Equal Opportunity Employer. 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