ML Engineer – Behavioral Intelligence Platform (Equity)

Triangle Analytics; New York (NY); On-site; USD 200,000 - 265,000; Full time

Job summary

Triangle Analytics seeks an ML systems engineer to build and scale machine learning components powering our core platform. You will turn signals from individuals, communities, and stakeholders into reliable predictions at scale, with ownership over modeling infrastructure.

You will work across applied ML research and production engineering, partnering with the founders and engineering team to deploy and monitor models, while balancing speed, quality, and reliability.

Qualifications

• Strong proficiency in Python and modern machine learning libraries and tooling.
• Deep understanding of ML fundamentals: feature engineering, algorithm selection, evaluation methodology.

Responsibilities

• Own the reliability, scalability, and performance of ML systems powering the product.
• Lead the full lifecycle from model experimentation to deployment in production.
• Set standards for development, deployment, monitoring, evaluation, and improvement of models.
• Collaborate with founders and engineering to own core ML architecture.

Skills

Python

ML libraries

Machine learning

Feature engineering

Production ML

Training pipelines

Evaluation pipelines

3+ years experience

Tools

AWS

GCP

SQL

Job description

Triangle Analytics seeks an ML systems engineer to build and scale machine learning components powering our core platform. You will turn signals from individuals, communities, and stakeholders into reliable predictions at scale, with ownership over modeling infrastructure.

You will work across applied ML research and production engineering, partnering with the founders and engineering team to deploy and monitor models, while balancing speed, quality, and reliability.