Senior Machine Learning Engineer (Active TS/SCI 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 Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you’ll define requirements and orchestrate complex data engineering pipelines. You’ll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. Your work will inform the future of Chariot, our proprietary AI operations platform. The work extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next.

Responsibilities

Deliver trusted AI systems in real-world use cases; work directly with customers, data scientists, software engineers, and DevOps engineers; define requirements and orchestrate complex data engineering pipelines; develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data; inform the future of Chariot, our proprietary AI operations platform; support mission-critical deployments and direct customer contact

Requirements

A BS degree in computer science, machine learning, or a related discipline and 6+ years of relevant experience; Experience integrating LLMs and/or building AI agents, agentic workflows, or agentic systems; Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of TensorFlow, PyTorch, and/or scikit-learn; Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language; Proficiency with modern software engineering tools and processes; Active TS/SCI 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; Experience with a variety of unstructured data types; Experience defining, scoping, planning, and delivering complex, production-level technical solutions; Experience leading, managing, or mentoring small, cross-functional engineering teams; Experience delivering novel technology solutions in secure government environments

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