{"id":2764178,"url":"https://alion.io/job/the-aerospace-corporation-applied-machine-learning-engineer","title":"Applied Machine Learning Engineer","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":{"grade":"B","score":82,"open_postings":51,"ghost_share":0,"stale_share":0.922,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":110400,"max":193500,"currency":"USD","period":"year","gross":null,"usd_annual":193500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"Edge AI","optional":false},{"name":"Flink","optional":false},{"name":"GitHub","optional":false},{"name":"Hadoop","optional":false},{"name":"HPC","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TPU","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-18T06:08:28Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\nWe are seeking a creative and enthusiastic Machine Learning Engineer to join a team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise. We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).\nThis position is for the Machine Learning Engineering section, where we focus on translating cutting-edge AI research into robust, scalable, and production-ready machine learning solutions. We bridge the gap between theoretical ML solutions and real-world impact by optimizing and scaling ML models, designing and building robust ML software architectures, providing expertise in harnessing the latest advancements in compute hardware, and implementing MLOps and Trusted AI best practices.\nThis is a full-time position based in Chantilly, VA which requires 100% onsite work.\nWhat You’ll Be Doing\nSupporting customers from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.)\nA3i pplies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas \nMachine Learning Engineers learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries. \nPrimary functions include: \nEvaluation of technologies for use in scalable and resilient mission-critical applications in a production environment \nCoordinated development and execution of AI/ML experiments \nCoordinated development of proof-of-concept infrastructure configuration and software prototypes \nCollaboration with small, innovative teams to deliver features and products \nWritten and verbal presentation of results to team members and stakeholders \nReinforcing an environment of learning and progress with team members and others \nFocus on accountability and innovation in leadership competency development \nDuties, responsibilities and activities may change, or new ones may be assigned as needed \nMachine learning engineers must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions. \nWhat You Need to be Successful\nMinimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff\nBachelors or Master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering or related technical field(s) \n5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain \nStrong proficiency in at least two different programming languages (e.g. Python, R, C/C++), and ML frameworks including familiarity with machine learning and deep learning libraries in Python \nHands on experience with container orchestration tooling(Docker, Kubernetes, etc.) \nExperience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps, ML Development Lifecycle, data structures, etc.) \nWorking knowledge of Unix/Linux operating systems \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. \nIn addition to the above, the minimum requirements for the Machine Learning Engineer- Engineering Specialist :\n8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain \nDemonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration \nHands on Experience with MLOps and Data Engineering tools (e.g., MLFlow, Kubeflow, Neptune, Airflow, DVC) \n\nHow You Can Stand Out\nIt would be impressive if you have one or more of these:\nAdvanced degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related field(s) \nExperience in designing or managing enterprise-level ML platforms and production-grade ML models at scale \nFamiliarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures \nDemonstrated ability to exercise judgement and critical thinking in a scientific discipline \nExperience implementing and guiding teams toward software development best practices \nExperience in SQL, NoSQL, Cypher and other big data querying languages \nExperience with big data frameworks (Hadoop, Spark, Flink etc.) \nFamiliarity with data pipelining and streaming technologies (Apache Kafka, temporal, etc.) \nDemonstrated contributions to open-source software repositories (github, kaggle, etc.) \nExperience deploying ML models on cloud platforms (AWS, Azure, etc.) \nDomain expertise relevant to one or more customer organization mission areas (USSF, NRO, 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$110,400.00 - $193,500.00Pay 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":9273,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["National Security","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-17T03:22:37Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":16,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":193500,"is_top_pay":false},"html_url":"https://alion.io/job/the-aerospace-corporation-applied-machine-learning-engineer","json_url":"https://alion.io/job/the-aerospace-corporation-applied-machine-learning-engineer.json","meta":{"generated_at":"2026-10-18T10:44:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"assistant_verified","counted_by":"address","units_charged":1,"used_today":1832,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58420},"rest":"https://alion.io/mcp/rest/get_company?id=58420"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-aerospace-corporation-applied-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthe-aerospace-corporation-applied-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthe-aerospace-corporation-applied-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/the-aerospace-corporation-applied-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-aerospace-corporation-applied-machine-learning-engineer"}]}