4 часа назад
Machine Learning Engineer (Active TS/SCI Clearance)
140 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Active TS/SCI Clearance) (Python/PyTorch/TensorFlow): Developing machine learning models, custom analytics, and mission-critical solutions across image, video, text, geospatial, time-series, and structured data with an accent on production analytics and data-centric systems. Focus on orchestrating complex data engineering pipelines, building agentic and traditional architectures, and deploying reliable AI systems for government customers.
Location: Hybrid/on-site at customer locations in Fort Belvoir, Virginia, United States; travel up to 15% required
Salary: $140,000–$190,000 per year, plus equity grants and cash bonuses.
Company
builds AI operations and assurance systems that monitor model performance, manage drift, and support reliable production deployments.
What you will do
- Develop machine learning models, custom analytics, and mission-critical solutions for image, video, text, geospatial, time-series, structured, and other data.
- Contribute to customer-driven projects and ’ enduring AI products.
- Orchestrate complex data engineering pipelines in agentic and traditional architectures.
- Collaborate with data scientists, software engineers, and DevOps engineers.
- Help shape the future of the Chariot AI operations platform through production deployments and direct customer contact.
Requirements
- Active TS/SCI security clearance and US citizenship required.
- Bachelor’s degree in computer science, machine learning, or a related discipline, plus 2+ years of relevant experience.
- Proficiency in Python and libraries such as PyTorch, TensorFlow, and/or scikit-learn.
- Strong software engineering fundamentals and proficiency in at least one systems programming language, such as Go, Rust, C++, Java, or Scala.
- Experience contributing to data-centric systems, including data engineering, data cleaning, ETL pipelines, machine learning, or production analytics.
- Exposure to modern software engineering tools and processes.
Nice to have
- Advanced degree in data science, machine learning, computer science, or a related discipline.
- Knowledge of client-server architectures and design patterns.
- Experience deploying software in containerized or cloud environments using Docker, Kubernetes, or similar tools.
- Experience applying machine learning to unstructured data or building agentic systems.
Culture & Benefits
- Culture based on trust, respect, candor, and ownership.
- Medical, dental, and vision insurance.
- HSA and FSA plans, including dependent care FSA.
- 401(k), unlimited PTO, and paid parental leave.
- Voluntary life, long-term disability, accident, and hospital indemnity insurance.
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