Overview
Our AI team operates at the intersection of quantitative decision-making and frontier model technology to create real-world impact in the world's foremost companies. They design, b
Complete internship details
Our AI team operates at the intersection of quantitative decision-making and frontier model technology to create real-world impact in the world's foremost companies. They design, build, and implement applied AI systems that improve the quality of human decisions and unlock major efficiencies. The team collaborates with software engineers and data scientists to solve complex problems in inference optimization, scalable systems design, and human-computer interaction. They combine technical deep learning, business acumen, and engineering expertise with an entrepreneurial mindset driven by rapid experimentation, first-principles thinking, and a passion for tackling complex real-world problems to deliver lasting impact.
As an applied scientist intern, you will identify the most impactful problems to solve, translating commercial objectives into technical solutions. You will combine and transform large multimodal datasets to run in-depth statistical analysis, and apply deep learning models to automate large-scale decisions, integrated into live business processes, designed to generate tangible economic impact.
A degree in computer science, mathematics, statistics, physics, economics, or similar fields from a leading university In-depth understanding of mathematical and statistical concepts behind the most common machine learning techniques Familiarity with frontier lab APIs (Gemini, OpenAI, Anthropic), and their advanced features like structured outputs and tool calling Understanding of LLM inference considerations e.g. input vs. output tokens, prompt caching Experience working with deep learning models within natural language processing or computer vision (e.g. HuggingFace model import/fine-tuning /inference) Experience writing code in Python Experience and willingness to work through the challenges associated with large, unstructured, real-world data sets in a client-facing setting Ability to see solutions and opportunities that others do not see High level of commitment and reliability, good balance of pragmatism and perfectionism
Cloud Infrastructure Git
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