{"id":764210,"url":"https://alion.io/job/scitec-senior-staff-senior-machine-learning-engineer","title":"Senior Staff / Senior Machine Learning Engineer","company":{"id":686565,"name":"SciTec","domain":"scitec.com","url":"https://alion.io/company/scitec","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":93,"open_postings":16,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boulder, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":127000,"max":193000,"currency":"USD","period":"year","gross":null,"usd_annual":193000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"cuDNN","optional":true},{"name":"Harbor","optional":true},{"name":"ROCm","optional":true},{"name":"Rust","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-06-25T00:00:00Z","employer_posted_date":"2026-06-25","last_verified_at":"2026-10-18T13:23:49Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":115},"description":"SciTec, a Firefly Aerospace Company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.\nImportant Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.\nSciTec has an immediate opportunity for a talented Machine Learning & AI Engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for national defense. You will work within a fast-paced team developing end-to-end machine learning and analytics pipelines for Overhead Persistent InfraRed (OPIR) sensor data supporting Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.\nWe are seeking a Staff/Senior Staff Machine Learning & AI Engineer to design, train, and optimize high-performance ML models and algorithms that enhance remote sensor data exploitation and analysis. This role focuses on hands-on algorithm development, model optimization, and integration into production software systems running on Linux.\nThe ideal candidate is a strong individual contributor with deep experience in machine learning, high-throughput data processing, and applied algorithmic development. Success in this role requires technical curiosity, rigorous engineering practices, and the ability to collaborate effectively within a highly technical, Agile team.\nResponsibilities\nDevelop and implement machine learning, deep learning, and AI algorithms for remote sensor data exploitation\nDesign, train, and optimize models supporting image analysis, detection, tracking, and multi-modal sensor fusion\nDeploy high-performance inference pipelines for large-volume, real-time or near-real-time data processing\nCollaborate closely with C++ and system-level engineers to integrate ML/AI solutions into existing software frameworks\nApply strong software engineering practices to ensure model reproducibility, performance, and maintainability\nWork as part of an Agile team and contribute to shared tools, workflows, and documentation\nOther duties as assigned\nRequirements\nA Bachelor’s degree in the physical sciences, mathematics, engineering, computer science, or a related field(Additional years of education may be substituted for years of professional experience)\n\nAt least five years of professional experience in machine learning, AI engineering, or applied algorithm development\nAt least three years of experience working in Linux environments\nProficiency with Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)\nStrong understanding of data structures, numerical methods, and algorithm design\nExperience optimizing models and pipelines for high-data-throughput processing\nFeature engineering and statistical tests, such as Mutual Information and Shapley Analysis\nDetail oriented with strong problem-solving skills\nGood verbal and written communication skills\nAbility to work full-time in-person at the Boulder, CO office location\nAbility to obtain and maintain a DoD security clearance\nPreferred Qualifications\nExperience with GPU programming and acceleration (CUDA, cuDNN, TensorRT, ROCm, etc.)\nDirect experience applying ML/AI techniques to OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data\nStrong understanding of modern software engineering principles, including object-oriented design and SOLID principles\nExperience with production deployment of ML models, MLOps pipelines, or real-time inference systems\nFamiliarity with C++17/20/23, especially for model integration or high-performance compute components\nAdvanced degree (MS or PhD) in the physical sciences, mathematics, engineering, computer science, or a related discipline\nProfessional fluency in one or more additional languages: Python, Rust, or C++\nPrior experience in Agile software development environments\nA current active DoD SECRET clearance or higher\nBenefits\nSciTec offers a highly competitive salary and benefits package, including:\n4% Safe Harbor 401(k) match \n100% company paid HSA Medical insurance, with a choice of 2 buy-up options\n80% company paid Dental insurance\n100% company paid Vision insurance\n100% company paid Life insurance\n100% company paid Long-term Disability insurance\n100% company paid Hospital Indemnity insurance\nVoluntary Accident and Critical Illness insurance\nShort-term Disability insurance\nAnnual Profit-Sharing Plan\nDiscretionary Performance Bonus\nPaid Parental Leave\nGenerous Paid Time Off, including Holiday, Vacation, and Sick Pay\nFlexible Work Hours\nThe pay range for this position is $127,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.\nSciTec is proud to be an Equal Opportunity employer. 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