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Senior Machine Learning Engineer


Software Development

Latest Job

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ABOUT THIS ROLE

  • / New York City Metropolitan Area (Hybrid)
  • / Permanent
  • / Competitive & Significant Equity
REF:

Founding Machine Learning Engineer

A venture-backed startup at the intersection of AI and national security is building the next generation of secure data sharing technology – and they’re looking for a Machine Learning Engineer to join the founding team.

This is a chance to work on high-impact problems where speed, security, and trust matter. You’ll help design and deploy ML-powered systems that enable intelligence and defence organisations to accelerate decision-making to seconds.

The role

  • Build and scale production-grade ML services, including LLM applications
  • Develop APIs and infrastructure that integrate seamlessly into mission-critical workflows
  • Work hands-on across the stack: from systems and storage through to inference and application layers
  • Tackle complex data security and privacy challenges in real-world environments

What they’re looking for

  • Strong coding background in Python or Golang
  • Experience taking ML/LLM systems from prototype to production
  • Skills in Kubernetes, Docker, or cloud infrastructure (AWS preferred)
  • Someone who thrives in early-stage environments and enjoys solving hard technical problems

Nice to have

  • Exposure to government, defence, or intelligence systems
  • Background in enterprise-scale search or ML-powered data access
  • Familiarity with security, authentication, or DevOps practices

Why apply?

  • Significant equity
  • Strong health & wellness benefits
  • Work on technology that truly matters in national security
  • Join a small, sharp team where your work will have immediate impact

At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don't meet every qualification.

If you're excited about a role but don't perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise.

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