As a Junior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working alongside data scientists, software engineers, and DevOps engineers, you’ll develop AI capabilities, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time series, structured, and other data. You will orchestrate complex data engineering pipelines in agentic and traditional architectures. Your work will inform the future of Chariot, our proprietary AI operations platform, and your impact will be felt across mission-critical deployments and direct customer contact.

What we’re looking for

• A BS 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 like 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 either coursework or practical experience
• Familiarity with modern software engineering tools and processes
• US citizenship and eligibility and willingness to obtain and maintain a US security clearance (Secret or above)

The following isn’t required, but we’d love to see it:

• Demonstrated software development through personal, academic, or open source projects
• 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, LLM evaluation, testing, observability, or guardrails
• Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), 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 (K8s)
• Experience working with asynchronous programming, concurrency, or event-driven architectures

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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