About the Company
This is a unique opportunity to get on a team of a fast-growing Industrial AI start-up. The company is founded by a Stanford professor and led by recognized thought leaders in Industrial AI and aerospace analytics.
Our main product is enterprise SaaS for maintenance supply chain in aircraft fleets. The product is built around proprietary AI Analytics Engines and allows for easy customers data integration.
The company has won substantial repeat business from US Air Force Sustainment Operations over the last several years. We are looking to leverage our military customer successes into substantial growth in the short term, and an M&A exit in the medium term (a couple of years). We are a technology leader in a fast-growing segment of Enterprise AI for supply chain and the probability of fast win is high.
Job Description
We are a lean development team looking for an AI Applications Engineer who will be ultimately responsible for analytics tuning, data engineering, customization, scalable deployment, and customer issues. The ‘Rocket Science’ processes for our mission-critical Explainable AI (xAI) involve rigorous cross validation of data, algorithm testing, verification, and validation. Custom developed AI/ML algorithms are necessary to reliably work with smaller datasets in this application space.
A successful candidate will understand what our application does, customer business cases, how the analytics software works, and help make feature development and new application deployment processes work smoothly. Depending on interests and experience, this position may become more data engineering, analytics, customer business, cloud computing, or product management-oriented.
You will start in a part-time consulting position at a competitive hourly rate. As the business grows, you will have an opportunity to transition to full-time.
Main Responsibilities:
- Develop and support Applied AI as Analytics Engines. This includes Data Engineering, ML training of Models, AI Inferences, and results presentation.
- Support the analytics and the DevSecOps pipeline including: aerospace grade algorithms | test coverage | reporting logic | compilation and build. The analytics pipeline produces object codes and resource files that feed into DevSecOps pipeline for cloud software.
- Interface with and support cloud software team that deals with Analytics Engine as a black box with well-defined API.
- Occasionally interface with customers on data issues, analysis result interpretation, and, eventually, on business value of the AI analytics.
- Document and coordinate improvement for components, products, and processes
Qualifications
Must-haves
- Graduate degree in Engineering, Applied Math, Computer Science, Physics, or a similar discipline, from a top school.
- 5+ years of industry experience in systems engineering and/or operations research applications including at least some of the following: statistics, optimization, controls, signal processing, applied math, and related practical applications.
- Rigor and attention to detail necessary for development of mission critical mathematical software evidenced by work and/or academic record.
- Ability to produce thorough documentation as evidenced by academic, research, professional, or industry publications. The examples are graduate thesis or technical papers. Github contributions might be substituted for technical publications.
- Matlab experience.
- Experience with GitHub including GitHub Actions
- Experience with developing and maintaining analytical code base
- Excellent communication and collaboration skills
- US Citizenship
Pluses
- PhD and/ or research credentials.
- Statistics for reliability, Poisson processes, anomaly detection and SPC.
- ML for parametric and nonparametric regressions.
- System dynamics models in logistics
- Familiarity with model-based development, simulation-based verification, and algorithm validation processes
- Shell scripting.
Additional Information
US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office is a plus.
Flexible schedule: full-time or part-time but no less than 10 hours/ week.