TurbineOne is hiring a Machine Learning Product Engineer to deliver product experiences that integrate machine learning for intelligence officers, soldiers, and security forces. You will join a small, fully remote team focused on creating efficient, intuitive applications for resource-constrained, edge-focused environments.
What You'll Do
- Deliver edge-focused product experiences integrating the latest in machine learning to support frontline personnel.
- Work closely with the design team to develop novel and intuitive user experiences for laypeople to use machine learning.
- Design systems and application flows that allow machine learning to be a force multiplier despite its limits.
- Collaborate with infrastructure and product teams to create an efficient application stack for edge-focused environments.
- Work with ML engineers to design and build internal modeling APIs that support optimal front-end user experiences.
What We're Looking For
- 5+ years working in full-stack product development positions.
- 3+ years experience with strongly typed languages like GoLang, C++, C#, or Java.
- Deep understanding of reactive web frameworks such as Vue or React.
- Experience with API design and best practices for REST, GraphQL and gRPC.
- Experience developing a maintainable code base using design documents, code reviews, and style guides.
- Must be eligible to obtain a clearance with the U.S. government.
Nice to Have
- A deep love for iterating closely with design to deliver magical experiences to the end user.
Technical Stack
- GoLang, C++, C#, Java
- Vue, React
- REST, GraphQL, gRPC
Team & Environment
You will join a small, fast-moving, high-performance startup team and report to the machine learning team lead.
Work Mode
This is a fully remote position. You must be self-driven and disciplined, thriving on autonomy and solid communication. While work/life balance is key, key personnel must be available in emergencies as the mission is paramount.
