Machine Learning Engineer

Triangle Analytics • Full-time • Arlington, VA, US • 3d ago

Company Description

Triangle Analytics is a Harvard and MIT startup building the data infrastructure that makes integrity and competence electorally viable. We help political organizations campaign with precision and purpose, transforming political, economic, and social signals into actionable strategies for targeted outreach, messaging, and resource allocation.

Our mission is to rebuild the political marketplace so integrity and performance can win over outrage and polarization.

Role Description

As a Founding Engineer, you will shape Triangle’s core technical foundation. You will design and deploy machine learning systems that model voter and donor behavior, build scalable data pipelines, and develop the algorithms that drive our predictive and optimization platforms.

You’ll be working directly with the founding team from Harvard and MIT, creating technology that strengthens how campaigns and civic organizations operate.

Responsibilities

Design and deploy advanced machine learning models that solve real-world problems in the political sphere.
Implement scalable data ingestion pipelines and optimize models for accuracy and performance.
Build reliable systems for real-time data processing and prediction.
Contribute to early product design, architecture, and technical decision-making.

Requirements

Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field.
US Citizen
Demonstrated experience in deep learning and model deployment.
Proficiency in PyTorch, TensorFlow, or related frameworks.
Strong foundation in data structures, algorithms, and software engineering principles.
Excellent problem-solving and analytical skills with a proactive, first-principles approach.

Preferred

Advanced (Master’s or PhD) degree in a machine learning–related field.
Experience working with large-scale behavioral or time-series data.
Prior startup or early-stage experience.

Why Join Triangle

Founding-stage equity and direct influence on product and architecture decisions
Collaborate with a team of Harvard and MIT engineers and advisors tackling one of democracy's most pressing problems.
Build technology that matters, making integrity and competence viable in politics.
Flexible, purpose-driven work culture.

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