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Striveworks

MLOps platform for national security deployments

Junior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • A Bachelor of Science degree in computer science, machine learning, or a related discipline and 0–2 years of relevant experience.
  • Strong proficiency in Python, including experience with libraries and frameworks such as PyTorch, TensorFlow, and/or scikit-learn.
  • Strong software engineering fundamentals and experience with at least one systems programming language.
  • Exposure to the development and use of machine learning models through coursework or practical experience.
  • Familiarity with modern software engineering tools and processes.
  • U.S. citizenship and eligibility and willingness to obtain and maintain a U.S. security clearance at Secret level or above.

Responsibilities

  • Develop AI capabilities, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time-series, structured, and other data.
  • Orchestrate complex data engineering pipelines in agentic and traditional architectures.
  • Contribute to customer-driven projects and the company's enduring products, including informing the future of the Chariot AI operations platform.
  • Work alongside data scientists, software engineers, and DevOps engineers, with direct customer contact.
  • Travel up to 25% of the time.

Desired Qualifications

  • Demonstrated software development through personal, academic, or open-source projects.
  • An advanced degree in computer science, data science, machine learning, or a related discipline.
  • Excellence in Python and deep knowledge of machine learning libraries.
  • Experience performing exploratory data analysis on structured and unstructured data.
  • Experience with agentic workflows, large language model evaluation, testing, observability, or guardrails.
  • Familiarity with vector databases, embeddings, retrieval-augmented generation, or other modern AI application patterns.
  • Knowledge of relevant architectures and design patterns for client-server systems.
  • Experience implementing and deploying software in containerized or cloud environments using tools such as Docker, Podman, or Kubernetes.
  • Experience with asynchronous programming, concurrency, or event-driven architectures.
  • An active Secret-level or higher U.S. security clearance.

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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