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Machine Learning Product Engineer

TurbineOne

Salary not specified
Oct 27, 2025
Remote, US
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TurbineOne is looking for a Full-Stack Machine Learning Product Engineer to deliver edge-focused product experiences, integrating the latest in machine learning, to support the missions of intelligence officers, frontline soldiers and security forces around the world.

Requirements

  • 5+ Years working in full-stack product development positions.
  • 3+ years experience with strongly typed languages, such as GoLang, C++, C or Java.
  • Deep understanding of reactive web frameworks, such as Vue and React.
  • Experience with API design and best practices for REST, GraphQL and gRPC.
  • Experience working with a team to develop a maintainable code base using design documents, code reviews, style guides and other industry best practices.

Responsibilities

  • Deliver edge-focused product experiences, integrating the latest in machine learning, to support the missions of intelligence officers, frontline soldiers and security forces around the world.
  • Work closely with our expert design team to develop novel and intuitive user experiences allowing laypeople to take full advantage of machine learning as a tool.
  • Knowing the limits and shortcomings of machine learning, design systems and application flows that, nonetheless, allow machine learning to be a force multiplier for our frontline warfighters.
  • Collaborate with the infrastructure team, and other product teams, to create an efficient and elegant application stack, taking into account the resource constraints of the edge-focused environments we deploy into.
  • Work with ML engineers to design and build our internal modeling APIs, making sure they support optimal user experiences on the front end.

Other

  • Geographically flexible - fully remote
  • We’re a small, fully remote, team; you have to be self-driven and disciplined.
  • The teams at TurbineOne thrive on autonomy, trust and solid communication.
  • While work/life balance is key to preventing burnout, in emergency situations, it is important that key personnel be available and involved.
  • The mission is key; given the sacrifices of those that serve, we want a team that will work to make every mission we are involved in a success, regardless of what that takes.
  • Must be eligible to obtain a clearance with the U.S. government.