AI/ML Software Engineer Intern (PhD)

Quick Facts

• Role: AI/ML Software Engineer Intern (PhD)

• Focus: Trust, safety, and risk control for platform and business ecosystems

• Program track: Conversion-oriented PhD internship (primary objective: conversion to full-time)

Description

Build AI-powered risk control algorithms, platforms, and infrastructure for account and content integrity and safety across advertising and e-commerce. You will work with machine learning for graph learning, anomaly detection, and multimodal models, and develop agent systems that improve risk engine performance and rule governance through closed-loop processes. Your contributions should move prototypes to production with measurable impact.

Responsibilities

• Build agent workflows to profile the risk engine, identify latency/CPU/memory/cost bottlenecks, propose and verify optimizations, and detect performance regressions.

• Propose and evaluate Recursive Self-Improvement (RSI) loops for sustained optimization (benchmark, iterate, and keep it closed-loop).

• Design agents that audit the rule base across its lifecycle to find redundant/conflicting/expired/low-value rules and generate safe change or decommission proposals with human-in-the-loop approval, rollback, and audit trails.

• Contribute to agent platform and evaluation foundations: tool use and workflow orchestration, evaluation benchmarks and guardrails, observability, and safety controls; help land prototypes in production.

Requirements

• Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline.

• Solid programming skills in Python or Go or C++ or Java, with good software engineering practices.

• Strong machine learning and data analysis foundation, plus rigorous experimental methodology (define metrics, run controlled comparisons, draw defensible conclusions).

• Strong ownership, proactive communication, and ability to work in an English-speaking, cross-functional environment.

Benefits

• Day-one access to health insurance and wellbeing benefits.

• Life insurance.

• 10 paid holidays per year and paid sick time (56 hours if hired in first half of year; 40 hours if hired in second half).

• Possible housing allowance for interns not working 100% remote.

• Hourly compensation range: $60–$60 (campus intern).