Machine Learning Engineer (Active Secret Clearance)

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. As a Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working alongside data scientists, software engineers, and DevOps engineers, you’ll develop machine learning models, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time series, structured, and other data. You will orchestrate complex data engineering pipelines in agentic and traditional architectures.

Responsibilities

Develop machine learning models, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time series, structured, and other data; Orchestrate complex data engineering pipelines in agentic and traditional architectures; Work alongside data scientists, software engineers, and DevOps engineers; Contribute to both customer-driven projects and the enduring products of the company; Inform the future of Chariot, our proprietary AIOps platform; Engage in direct customer contact

Requirements

BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience; Proficiency in Python and libraries like PyTorch, TensorFlow, and/or scikit-learn; Proficiency in software engineering fundamentals and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.); Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics); Exposure to modern software engineering tools and processes; Active Secret (or above) US security clearance and US citizenship

Nice to have

An advanced degree in data science, machine learning, computer science, or a related discipline; Knowledge of relevant architectures and design patterns for client-server systems; Experience implementing and deploying software into containerized or cloud environments via Docker, K8s, or similar; Experience applying machine learning to unstructured data (imagery, video, other) and/or building agentic systems

Benefits

Medical/dental/vision insurance; Voluntary life, long-term disability, accident, and hospital indemnity insurance; HSA and FSA (including dependent care FSA) plans; 401(k) plan; Unlimited PTO; Paid parental leave; Equity grants; Cash bonuses