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Striveworks

MLOps platform for national security deployments

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeFalls Church, VA, USA

About the Job

Requirements

  • A Bachelor of Science degree in computer science, machine learning, or a related discipline, and at least 6 years of relevant experience.
  • Demonstrated experience delivering data-centric systems.
  • Proficiency in programming languages and libraries commonly used in machine learning; excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn are essential.
  • 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 U.S. citizenship, plus eligibility and willingness to undergo a Counterintelligence Scope Polygraph if required.

Responsibilities

  • Work as a core contributor to customer-driven projects and the company’s enduring products.
  • Work directly with customers, data scientists, software engineers, and DevOps engineers to 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.
  • Contribute work and insights that inform the future of the Chariot AIOps platform.
  • Participate in mission-critical deployments, direct customer contact, and field work.

Desired Qualifications

  • 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.

About the Company

Striveworks

MLOps platform for national security deployments

Striveworks provides the Chariot platform, an MLOps tool for building, deploying, monitoring, and governing AI models in national-security, defense, and other regulated sectors. Chariot supports end-to-end AI workflows with data and model lineage tracking, a low-code interface, and strong role-based access controls suitable for DoD requirements. It is optimized for unstructured data such as computer vision and NLP and is used in geospatial intelligence and predictive maintenance. Striveworks targets Fortune 500 companies and public sector agencies, aiming to enable reliable, auditable, scalable AI deployment in mission-critical environments.

Company size
51-200
Company stage
Series B
Total funding
$50.3M
Headquarters
Austin, TX
Founded
2018

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