TurbineOne · 5 days ago
Machine Learning Product Engineer
TurbineOne is a frontline perception company that leverages machine learning and software technology to enhance situational awareness and force protection for frontline soldiers. They are seeking a Full-Stack Machine Learning Product Engineer to deliver edge-focused product experiences and collaborate with design and infrastructure teams to create efficient application stacks.
Public SafetySecurity
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
Qualification
Required
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
A deep love for iterating closely with design to deliver magical experiences to the end user
Must be eligible to obtain a clearance with the U.S. government
Company
TurbineOne
TurbineOne is the frontline perception company.
Funding
Current Stage
Growth StageTotal Funding
$54MKey Investors
The General PartnershipBessemer Venture PartnersXYZ Venture Capital
2025-05-14Series B· $36M
2024-03-27Series A· $15M
2022-01-10Seed· $3M
Recent News
2025-12-10
2025-09-17
Technology - WSJ.com
2025-09-12
Company data provided by crunchbase