GuidePoint Security
Remote in USA

AI & Data Science Intern - GPSU

RemotePosted today

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Job details

Location
Remote in USA
Work type
Remote
Posted
today
Apply on
boards.greenhouse.io

About this role

As part of the GPSU program, we are seeking an AI & Data Science Intern to support GuidePoint Security’s Northeast region. In this role, you will work with the NE AI and AppSec teams as part of the NE DevSecOps team, contributing to the evaluation and governance infrastructure that supports GuidePoint’s agentic AI harnesses. This is a hands-on, practitioner-mentored role focused on defining and running evals, collecting and analyzing telemetry, tuning model performance, and building an internal governance pipeline for AI harness outputs. Prior professional experience is not required, but a data-oriented mindset and curiosity about applied AI systems are essential. Currently enrolled, or recently graduated with a degree or substantial coursework in data science, statistics, computer science, engineering, or a related field is required. You will contribute to live AI systems that are in active use across the organization, working alongside experienced engineers to improve harness reliability and prevent output drift and performance regression over time. You will also participate in limited client-facing engagements under mentorship, observing how AI capabilities are communicated and demonstrated in a professional services context. ## Responsibilities ## Evaluation & Performance - Define and implement evaluation frameworks to measure the accuracy, reliability, and consistency of agentic AI harnesses. - Design and run structured evals against harness outputs to detect regressions, output drift, and behavioral degradation over time. - Build and maintain benchmark datasets and ground-truth corpora used to evaluate harness quality. - Analyze eval results, identify failure modes, and collaborate with the NE AI and AppSec teams to drive iterative improvements. - Research and apply prompt evaluation techniques and LLM benchmarking methodologies relevant to security-specific harnesses. ## Telemetry, Tuning & Governance - Instrument agentic harnesses with telemetry to capture latency, token usage, error rates, and output quality signals. - Analyze telemetry data to identify patterns, surface anomalies, and generate actionable insights for harness tuning. - Support model and prompt tuning efforts based on eval and telemetry findings, documenting changes and measuring their impact. - Contribute to building an internal AI governance pipeline: defining standards, logging outputs, flagging quality issues, and maintaining an audit trail for harness behavior. - Document governance processes, eval methodologies, and tuning decisions in a repeatable, version-controlled format. ## Qualifications - Currently enrolled, or recently graduated with a degree or substantial coursework in data science, statistics, computer science, engineering, or a related field (required). - Proficiency or strong interest in Python, with exposure to data manipulation libraries (pandas, numpy) or LLM APIs. - Genuine curiosity about large language models, agentic systems, and how AI performs (and fails) in applied contexts. - Strong analytical and written communication skills, with an ability to translate data findings into clear, actionable observations. - Technical aptitude and comfort working with ambiguity in a fast-moving, practitioner-led environment. - Eastern/Central time zone preferred. ## Internship Details and Expectations This is a part-time, remote paid internship ($20/hr) that runs for 12 weeks, with potential for full-time employment at the conclusion of the internship. Interns are expected to: - Be physically located within the United States during the entire duration of the internship. - Work 25–29 hours per week Monday–Friday supporting the Eastern Time Zone. - Have a personal computing device and access to high-speed internet during working hours.This position is not available for candidates living in Alaska, California, Hawaii, New Mexico, New York, Oregon, Washington, or Wyoming. The following perks are for those who join GuidePoint Security for full-time employment only: - Remote workforce primarily (U.S.-based only; some travel may be required for certain positions, and working on-site may be required for Federal positions). - Group medical insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans) or High Deductible Health Plan with HSA (GuidePoint pays 100% of employee premiums and 75% for family plans). For the High Deductible/HSA plan, GuidePoint Security contributes in four equal quarterly installments: $850 per employee annually or $1,750 per family annually. - Group dental insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans. - 12 corporate holidays and a Flexible Time Off (FTO) program. - Healthy mobile phone and home internet allowance. - Eligibility for retirement plan after 2 months at open enrollment. - Pet Benefit Option.
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About GuidePoint Security

GuidePoint Security
Remote in USA