Senior Machine Learning Engineer (Active TS/SCI Clearance)

Since 2018, Striveworks has delivered 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 customer-driven projects and enduring products. 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 informs the future of Chariot, the proprietary AIOps platform. The work extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next.

Responsibilities

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; Work directly with customers, data scientists, software engineers, and DevOps engineers; Inform the future of Chariot, the proprietary AIOps platform; Contribute to 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; Demonstrated experience delivering data-centric systems; Proficiency in programming languages and libraries common to machine learning, with excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn; Proficiency in software engineering fundamentals including 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, as well as eligibility and willingness to undergo a Counterintelligence (CI) Scope Polygraph if required

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 with anomaly detection in AI systems, models, data, and workflows; Experience building agentic systems, agentic workflows, or AI agents; Experience defining, scoping, planning, and delivering complex technical solutions; Experience leading a small team; Experience delivering 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