{"id":3029769,"url":"https://alion.io/job/apex-tk-aiml-engineer-multiple","title":"AI/ML Engineer (Multiple)","company":{"id":693848,"name":"APEX TK","domain":"apextk.com","url":"https://alion.io/company/apextk","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":null,"salary_estimate":{"min_usd":108000,"max_usd":242000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SQL","optional":false},{"name":"STK","optional":false}],"status":"live","first_seen_at":"2026-10-21T15:32:26Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T20:43:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"APEX TK is seeking a highly motivated and skilled Radar Signals Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.\nResponsibilities:\nWork with our modeling and simulation team to conduct a wide variety of analyses in support of government satellite programs in Earth orbits\nDevelop new Machine Learning (ML) algorithms for applications such asUsing optical and radar space-surveillance sensors to recognize different types of satellites\nScheduling space surveillance sensor networks to find, recognize and track maneuvering satellites\nDeciding what activities satellites should undertake\n\nAlgorithm development will include steps such asConducting Exploratory Data Analysis (EDA) to identify patterns\nDesigning, developing, and evaluating machine learning algorithms, including supervised, unsupervised, and reinforcement learning\nBuilding, training, and tuning predictive models\nCollaborating with cross-functional teams to identify and solve problems\nImplementing and optimizing algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering\nDeveloping High Performance Computing pipelines for scalability and monitoring\n\nWork with satellite designers and operations planners\nWork with experts in astrodynamics, sensors, AI/ML, High Performance Computing (HPC)\nUse programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones\nConduct independent trade studies and technical assessments\nReview and validate algorithms and results provided by external teams\nDevelop and present actionable technical briefings\nRequired Qualifications:\n2-10 years of relevant experience.\nBachelor’s Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc.\nActive Top Secret/SCI w/ CI Poly Clearance\nExperience performing space-related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK\nAbility to communicate findings and recommendations to internal and external customers\nPreferred Qualifications:\nMaster's degree in a STEM related field.\nExperience with other simulation tools and programming languages.\nExperience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.","description_format":"text","description_chars":2484,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Defense AI","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-21T20:08:09Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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