{"id":3257041,"url":"https://alion.io/job/general-atomics-supervisor-machine-learning-engineer","title":"Supervisor Machine Learning Engineer","company":{"id":1782979,"name":"General Atomics","domain":"ga.com","url":"https://alion.io/company/ga-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BrassRing","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poway, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":309000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T19:34:24Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.DUTIES AND RESPONSIBILITIES:\nThis is a Supervisory role.\nDesign, implement, and solve autonomy problems via complex, data-driven decision-making paradigms including reinforcement learning (RL), multi-agent reinforcement learning (MARL), world models, large language models (LLMs), and stochastic control systems.\nTranslate algorithms and technical specifications into production-quality ML code, following software engineering best practices. Maintain and deploy trained models and training pipelines. \nCompletes programming and implements efficiencies, performs testing, validation, and debugging.\nWorks with multi-functional teams to deploy and utilize autonomy stack.\nAnalyze, assess, quantify, communicate, and develop methods to improve model performance. Collaborate across diverse teams of subject matter experts to evaluate model behavior.\nLead technical teams and scope challenging projects into executable sprints.\nDrive code reviews to help team adhere to general DevSecOps and MLOps best practices.\nHave a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.\nAdapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.\nMaintains the strict confidentiality of sensitive information.\nPerforms other duties as assigned.\nResponsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.\nExpected to work in a safe manner in accordance with established operating procedures and practices.\nWe recognize and appreciate the value and contributions of individuals 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