6 часов назад
Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)
185 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance) (Machine Learning/Agentic AI): Building reliable machine learning solutions, LLM-powered agents, and agentic workflows for mission-critical government deployments with an accent on evaluation, safety, tool integration, and production performance. Focus on designing multi-agent architectures, integrating external APIs and enterprise data, and improving the reliability of AI systems in real-world environments.
Location: Remote within the United States, or hybrid/onsite at the northwest Austin, Texas office; travel up to 20% required
Base salary: $185,000–$230,000 per year
Company
develops AI operations solutions that monitor model performance, manage drift, and sustain machine learning systems in real-world government use cases.
What you will do
- Develop machine learning solutions for customer projects and enduring product capabilities.
- Design and orchestrate data, agentic, and model workflows across models, agents, tools, and enterprise data.
- Build and improve LLM-powered agents and agentic systems for reliable production use.
- Evaluate agent performance, reliability, safety, and usability.
- Collaborate with customers, data scientists, software engineers, and DevOps engineers to shape the Chariot AI operations platform.
- Support mission-critical deployments and use field insights to guide platform improvements.
Requirements
- Active Secret or higher US security clearance and US citizenship required.
- BS degree in computer science, machine learning, or a related discipline, plus 6+ years of relevant experience.
- Experience delivering data-centric production systems, including data engineering, cleaning, ETL, machine learning, or production analytics.
- Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows.
- Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources.
- Strong Python skills and knowledge of machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, plus software engineering fundamentals and a systems programming language.
Nice to have
- Advanced degree in data science, machine learning, computer science, or a related field.
- Knowledge of client-server architectures, asynchronous programming, REST, GraphQL, or frontend frameworks.
- Experience with Docker, Kubernetes, infrastructure as code, and cloud environments.
- Experience with unstructured data, complex technical delivery, team leadership, or secure government environments.
Culture & Benefits
- Trust-based culture with respectful, candid, and constructive communication.
- Medical, dental, and vision insurance.
- HSA, FSA, disability, life, accident, and hospital indemnity insurance options.
- 401(k), equity grants, cash bonuses, unlimited PTO, and paid parental leave.
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