Machine Learning Product Engineer
38 Days Old
About the Job
TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection by allowing frontline soldiers to leverage the latest in machine learning and software technology. The company is a small, fast-moving, high-performance startup backed by top DefenseTech VC.
Job Title
Full-Stack Machine Learning Product Engineer
Reporting to
Machine learning team lead
Location
Fully remote, geographically flexible
Primary 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.
Desired Experience
- 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.
Startup Culture Expectations
- 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.
Eligibility
- Must be eligible to obtain a clearance with the U.S. government.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Defense & Space
- Location:
- San Francisco
- Salary:
- $250,000 +
- Category:
- Engineering
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