Job description
We’re hiring an ExplainableAI Engineer to build, verify, and validate business impact predictions based on outputs of our AI Engines. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including
Development of Operations Research features for the AI models
Automation of data management towards scalability
Aerospace grade V&V for mission critical functions using simulations
Explainable AI engine interfaces to data, human users, and Agentic AI
Main Responsibilities:
Understand, develop, & support business impact prediction analytics in Explainable AI Engines
Build, evolve, verify, and validate data processing pipeline segments
Support scalable deployment of the AI
Integrate Explainable AI with LLM tools for Agentic AI experience
Collaborate with the cloud software team and occasionally with customers
Document Explainable AI for customer users and internal software developers
Must-haves
Experience building mission-critical analytical applications, working in a production environment
Hands-on skills in at least some of mathematical methods in:
Operations Research
Bayesian statistics
Monte Carlo analysis
Mathematical optimization
Decision and Control
Experience with MATLAB
Model-based development / simulation-based verification
Solid experience writing technical documentation
Strong collaboration and communication skills; experience working with a software team
Graduate Degree in Engineering or a related field
U.S. Citizenship.
Pluses
Supply chain and/ or sustainment in the aerospace industry
Experience with Java and GitHub (Actions)
Building SaaS applications
Experience with GenAI and LLM augmentation (RAG)
PhD
US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
A background check and a drug check may be required.
Location: This is a remote position. USA, Nationwide.
You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.
We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.
We have built and are operationally deploying hallucination-free Agentic AI for mission critical decision support that relies on proprietary Explainable AI engines for SME-explainable insights from existing data.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.