Lead Temporal AI Engineer

Abel AI; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Abel AI is seeking researchers to build temporal foundation models and AI systems that understand world dynamics, forecast future outcomes, and support better decisions. You will work on scale to 10T+ observations and multimodal temporal modeling.

You will contribute to agentic forecasting frameworks, scalable inference pipelines, and research-to-system translation across modeling, data, and production. The role suits candidates with PhD or strong ML research background, experienced in PyTorch

Qualifications

• PhD or strong research background in ML, time-series, or related fields.
• ,

Responsibilities

• Scale temporal foundation models to 10T+ observations.
• Build multimodal temporal models.
• Develop agentic forecasting systems.
• Develop scalable inference infrastructure.
• Translate research into real systems.

Skills

PyTorch

scikit-learn

Python

Time-series data

Forecasting

Causal learning

Agentic AI

LLMs

Education

PhD in Computer Science or related field

Master’s candidates considered

Tools

PyTorch

scikit-learn

Python

Job description

Abel AI is seeking researchers to build temporal foundation models and AI systems that understand world dynamics, forecast future outcomes, and support better decisions. You will work on scale to 10T+ observations and multimodal temporal modeling.

You will contribute to agentic forecasting frameworks, scalable inference pipelines, and research-to-system translation across modeling, data, and production. The role suits candidates with PhD or strong ML research background, experienced in PyTorch