Machine Learning Engineer — Civic Analytics & Production

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

Benefits offered by this job

Equity compensation

Job summary

Triangle Analytics, a startup delivering behavioral intelligence for infrastructure decisions, is hiring a machine learning engineer to build the systems powering our platform from data to deployment.

You will own end-to-end ML lifecycle, develop new modeling approaches, pipelines, and monitoring, and work closely with founders and engineers to scale impact. A strong foundation in Python and ML fundamentals plus production ML experience is essential.

Qualifications

• 3+ years of industry experience in ML/AI roles.
• Strong Python and ML tooling proficiency.
• Experience building and productionizing ML models.
• Experience with training, evaluation, inference, and monitoring pipelines.
• Attention to detail and ability to write clean, scalable code.
• Cloud platforms and data pipelines experience is a plus.

Responsibilities

• Own reliability, scalability, and performance of ML systems.
• Lead model experimentation and deployment in production.
• Define standards for model development, deployment, monitoring, and evaluation.
• Collaborate with founders and engineering to align strategy.
• Translate signals into reliable behavioral predictions at scale.

Skills

Python

ML libraries

ML fundamentals

Feature engineering

Model deployment

Experimentation

Evaluation

Production ML

Data processing

Education

Tools

AWS

GCP

SQL

Databases

MLOps

Model serving

Transformers

Recommender systems

Job description

Triangle Analytics, a startup delivering behavioral intelligence for infrastructure decisions, is hiring a machine learning engineer to build the systems powering our platform from data to deployment.

You will own end-to-end ML lifecycle, develop new modeling approaches, pipelines, and monitoring, and work closely with founders and engineers to scale impact. A strong foundation in Python and ML fundamentals plus production ML experience is essential.