Remote Machine Learning Engineer (Active Secret Clearance) → Machine Learning Engineer

Role OverviewA Machine Learning Engineer responsible for developing, deploying, and maintaining AI systems that are reliable, scalable, and adaptable in unpredictable environments. You will work on customer-driven projects leveraging the proprietary AI operations platform, contributing to core software enhancements, and transforming machine learning models into operational capabilities.Key ResponsibilitiesDevelop machine learning pipelines for diverse data types (images, text, geospatial, time series).Automate complex data engineering and analytics workflows.Design and implement core product functionalities.Support mission-critical fieldwork supporting clients and stakeholders.Qualifications & SkillsBS in computer science, machine learning, or related field with 2+ years' experience.Proficiency in Python, with experience using TensorFlow, PyTorch, or scikit-learn.Strong software engineering fundamentals; familiarity with algorithms, data structures, and systems programming languages.Experience with data-centric systems, cloud/containerized environments, and security clearance (US citizenship required).Ideal candidates have advanced degrees, experience with imagery/video ML, secure government projects, and modern software tools.Additional Info: Fully remote or hybrid work options, up to 30% travel. Compensation ranges from $160,000 to $190,000 plus benefits including health insurance, 401(k), unlimited PTO, and parental leave.Core Values: Emphasize trust, ownership, innovation, and dedication to impactful solutions.