About the Role / Job Overview
The company's internship program offers a unique opportunity to own and contribute to impactful work in the field of AI. Interns collaborate on significant projects alongside full-time engineers, benefiting from mentorship by industry leaders within a culture that champions ownership and rapid execution. The Global Public Sector team specifically aims to leverage AI to tackle essential challenges faced by public sectors worldwide.
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Core Responsibilities
Interns will be involved in various projects that contribute to the company's mission, including:
- Creating custom AI applications that will impact millions of citizens.
- Generating high-quality training data for national large language models (LLMs).
- Providing upskilling and advisory services to extend the influence of AI across sectors.
Example Projects:
- Build reinforcement learning and post-training data pipelines that power frontier model development.
- Develop evaluation infrastructure to measure model reliability for enterprise and public sector customers.
- Ship agentic AI applications alongside tools to ensure they are observable, testable, and safe.
- Create tools that facilitate the growth of new qualified contributors on the company's platform.
- Develop fraud-detection systems to maintain the company's contributor base integrity.
- Utilize models to estimate the quality of tasks and contributors, ensuring excellence at scale.
- Devise advanced algorithms for matching contributors to clients for superior responsiveness and accuracy.
- Create optimized UI/UX tools in collaboration with ML algorithms for a vast contributor network.
- Develop new AI infrastructure products to visualize, query, and explore company data.
Requirements
- Graduation date in Fall 2027 or Spring 2028, pursuing a Bachelor's degree (or equivalent) in Computer Science, EECS, Computer Engineering, or Statistics.
- Availability for a Summer 2027 internship (May/June start dates) in San Francisco.
- Product engineering experience including building full-stack web applications, integrating relevant APIs, customer engagement, and iteration on product builds.
- Prior internship experience in Computer Science/Software Engineering.
- Proven track record of shipping high-quality products and features.
- Experience in building systems capable of handling large data volumes.
- Proficiency in Python, Typescript, React, and/or MongoDB.
Nice to Have:
- Hands-on experience with LLMs, evaluations, or agentic systems gained through coursework, research, or personal projects.
- Open source contributions or a portfolio showcasing shipped side projects.
How We Work
Our organizational credos guide our decision-making and teamwork processes:
- Earn Customer Love — Trust is cultivated through every interaction and resolution.
- Team Flow — Strategies and support flow seamlessly across teams for optimized outcomes.
- Quality is Our Cheat Code — Consistently delivering quality is our structural advantage.
- Find the 20% — Identify key input factors driving results and execute fully.
- Write the Market — Cutting-edge research places us and our partners at the forefront.
- Three Moves Ahead — Anticipate consequences and plan accordingly.
Travel and Contract Information
- This internship is expected to be located in San Francisco for the summer session.
- Candidates applying based in Qatar need to be aware of residency and employment permissions required by Qatari authorities, which involve personal information for visa processing.
- Visa issuance is at the discretion of the Qatari authorities. Successful candidates will provide necessary documentation for the company to support visa applications.
Commitment to Diversity
The company is an equal opportunity workplace committed to promoting inclusivity and diversity. We believe that a variety of perspectives enhances our team's ability to deliver innovative solutions. We provide reasonable accommodations for applicants with disabilities to ensure a fair recruitment process.
