Applied Research Engineer: Production APIs & Forecasting

Factagora; Republic (MO); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Factagora in the United States invites an engineer to transform research into real products using the Temporal Knowledge Graph. You will develop production APIs and services focused on time-series forecasting, pattern analysis, and anomaly detection.

You'll bridge experimental code and product code, design data-driven experiments, and collaborate with the engineering team and the CEO to mature the research‑to‑product cycle, supporting the global R&D program.

Qualifications

• 2+ years of software development experience or equivalent practical ability.
• Ability to turn research ideas into working code and systems.
• Excellent documentation and clear technical writing.

Responsibilities

• Applied research and algorithm design using the Temporal Knowledge Graph.
• Research on forecasting models, pattern analysis, and anomaly/risk/opportunity detection logic based on time-series and ontology data.
• Turning research outcomes into production-ready APIs and code for real services.
• Acting as the bridge between experimental code and product code.
• Designing data-driven experiments and validating performance through comparison.
• Collaborating with the engineering team and the CEO to mature the research-to-product cycle.
• Supporting research and technical validation for our global R&D TIPS program.

Skills

2+ years software development

Experimentation

Technical writing

Education

Master's or PhD in time-series analysis, ML, graphs, statistics, or related field

Tools

Python

Java

Scala

Knowledge Graphs

Graph DBs

Job description

Factagora in the United States invites an engineer to transform research into real products using the Temporal Knowledge Graph. You will develop production APIs and services focused on time-series forecasting, pattern analysis, and anomaly detection.

You'll bridge experimental code and product code, design data-driven experiments, and collaborate with the engineering team and the CEO to mature the research‑to‑product cycle, supporting the global R&D program.