Machine Learning Product Engineer

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October 27

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TurbineOne

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AI • Cybersecurity • Defense

TurbineOne is a mission-driven company focused on enhancing national security through advanced technology solutions. It specializes in automating threat recognition using cutting-edge Machine Learning and offers a Frontline Perception System that improves decision-making for military and defense operations. By leveraging intelligence and autonomy, TurbineOne aims to provide comprehensive threat detection and situational awareness for defense forces, enabling them to respond swiftly to evolving threats.

11 - 50 employees

Founded 2021

🔒 Cybersecurity

💰 $3M Seed Round on 2022-01

📋 Description

• 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.

🎯 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. • A deep love for iterating closely with design to deliver magical experiences to the end user.