{"id":1670443,"url":"https://alion.io/job/the-aerospace-corporation-engineering-manager-machine-learning-engineering","title":"Engineering Manager – Machine Learning Engineering","company":{"id":58420,"name":"The Aerospace Corporation","domain":"aerospace.org","url":"https://alion.io/company/the-aerospace-corporation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":147600,"max":221400,"currency":"USD","period":"year","gross":null,"usd_annual":221400},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-03T23:40:20Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"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.\nInformation 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, DoD, and civilian customers.\nThe Engineering Manager of Machine Learning Engineering (MLE) leads a team of engineers and technical staff in developing and deploying cutting-edge data science, artificial intelligence (AI), and machine learning (ML) solutions. This role bridges the gap between innovation and implementation, transforming proof-of-concept models into production-ready applications that deliver real business value. This position is a critical leadership role that coordinates technical assignments, deliverable execution, customer relationships, career development, technical consultation, and overall direction. The Engineering Manager provides leadership to the MLE section and contributes to technical projects that solve customer problems.\nWork Model\nThis is a full-time position based in Chantilly, VA\nWhat You’ll Be Doing\nProvides task planning, schedule, and labor estimates for proposed technical work assignments. Advises supervision of resources needs and capabilities. Provides inputs for budgetary planning. \nParticipates in day-to-day technical activities and task accomplishments. Monitors and evaluates processes, techniques, and performance. Reviews documentation and delivery of services. \nWorks closely with customers to coordinate tasking, report progress, resolve technical issues, and assure project success. Initiates and coordinates exchanges of technical information with other work groups and organizations. Prepares written and oral reports of organization’s activities, issues, and accomplishments to higher management, subordinates, and teaming organizations. \nRecommends staffing needs, reassignments, transfers, and terminations. Recommends and assists evaluation of potential staff additions. Conducts performance reviews, recommends performance improvements, career development, and promotional actions. \nImplements policies, practices, and operating processes and recommends changes and improvements to supervision. Responsible for compliance with security monitoring, processes, and recommendations. \nParticipates in inter-organizational team assignments and educational activities. \nIdentifies opportunities for additional, expanded, and new business. Aids in the evaluation and pursuit of new business opportunities. \nSupervises and provides technical direction to engineering and engineering support staff involved in design and development efforts on shorter-range or discrete product outputs.\nAssigns specific task responsibilities to engineering and support personnel to achieve work schedule requirements. Specifies, monitors, and evaluates techniques and operating procedures.\nWhat You Need to be Successful\nMinimum Requirements:\nBachelors degree in STEM with emphasis in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related field(s) \n6 or more years of increasingly responsible professional engineering/scientific experience as a data scientist, machine learning engineer, or AI/ML researcher in any domain\nDemonstrated ability to lead, advise, and provide direction to subordinate team. \nExperience with and understanding of machine learning and artificial intelligence, software engineering, and statistics \nProven ability to take initiative and successfully complete tasks, lead complex technical projects, and collaborate effectively. \nThis position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance \nAbility to establish and maintain effective working relationships with all levels of customers and corporate staff. \nProven ability to organize and lead technical tasks. \nDemonstrated initiative and strong leadership skills, with proven ability to build and manage effective teams. \nDemonstrated ability to rapidly learn and apply new technical skills. \nDemonstrated ability in oral and written communication skills. \nSome travel may be required.\nHow You Can Stand Out\nIt would be impressive if you have one or more of these:\nAn advanced degree, from a recognized institution, in an appropriate technical discipline. \nStrong background in software development, algorithms, Data Science, Machine Learning, and Computer Vision. \nBroad exposure to the Machine Learning needs of Aerospace program offices and commercial customer base. \nStrong background with tools and techniques for ingesting, distilling, organizing, extracting and interpreting meaning from large and complex data sets. \nExperience in leading large sets of diverse teams to accomplish difficult applied AI goals in the DoD enterprise \nDemonstrated contributions to open-source software repositories (github, kaggle, etc.) \nActive security clearance \nWe 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.\n(Min - Max)\n$147,600.00 - $221,400.00Pay Basis: AnnualLeadership Competencies\nOur 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:\nOperate Strategically\nLead Change \nEngage with Impact \nFoster Innovation \nDeliver Results \nWays We Reward Our Employees\nDuring your interview process, our team will provide details of our industry-leading benefits.\nBenefits vary and are applicable based on Job Type. A few highlights include:\nComprehensive health care and wellness plans\n\nPaid holidays, sick time, and vacation\n\nStandard and alternate work schedules, including telework options\n\n401(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\n\nFlexible spending accounts\n\nVariable pay program for exceptional contributions\n\nRelocation assistance\n\nProfessional growth and development programs to help advance your career\n\nEducation assistance programs\n\nAn inclusive work environment built on teamwork, flexibility, and respect\n\nWe 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.\nEqual Opportunity Commitment\nThe Aerospace Corporation is an equal opportunityemployer. 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 310.336.5432 or by email at  . You can also review Know Your Rights: Workplace Discrimination is Illegal.","description_format":"text","description_chars":8684,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T06:35:46Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.646,"p_room":0.44,"age_days":46,"expected_fill_days":31,"reasons":["conf:23","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":221400,"is_top_pay":false},"html_url":"https://alion.io/job/the-aerospace-corporation-engineering-manager-machine-learning-engineering","json_url":"https://alion.io/job/the-aerospace-corporation-engineering-manager-machine-learning-engineering.json","meta":{"generated_at":"2026-10-04T00:31:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":649,"day_limit":5000,"remaining_today":4351,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}