AI Applied Scientist Intern

9w2 months ago

QuantCo

Internship · $70,000 – $90,000

About this role

Our AI team operates at the intersection of quantitative decision-making and frontier model technology to create real-world impact in foremost companies. They design, build, and implement applied AI systems that improve human decisions and unlock major efficiencies. The team combines technical deep learning, business acumen, and engineering expertise.

As an applied scientist intern, identify the most impactful problems to solve and translate commercial objectives into technical solutions. Combine and transform large multimodal datasets to run in-depth statistical analysis. Apply deep learning models to automate large-scale decisions integrated into live business processes for tangible economic impact.

Collaborate with software engineers and data scientists to solve complex problems in inference optimization, scalable systems design, and human-computer interaction. Work through challenges with large, unstructured, real-world datasets in a client-facing setting. Driven by rapid experimentation, first-principles thinking, and passion for complex problems.

Join a smart, motivated, and driven team that revels in challenging problems and novel solutions, values customers, and delivers thoughtful products. Surrounded by people who respect each other and contributions. At QuantCo, leverage data science, engineering, and economics to impact core business processes for major organizations.

Requirements

Degree in computer science, mathematics, statistics, physics, economics, or similar fields from a leading university
In-depth understanding of mathematical and statistical concepts behind common machine learning techniques
Familiarity with frontier lab APIs (Gemini, OpenAI, Anthropic), and 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 working with large, unstructured, real-world datasets in a client-facing setting
Ability to see solutions and opportunities that others do not see

Responsibilities

Identify the most impactful problems to solve
Translate commercial objectives into technical solutions
Combine and transform large multimodal datasets
Run in-depth statistical analysis
Apply deep learning models to automate large-scale decisions
Integrate models into live business processes
Collaborate with software engineers and data scientists
Solve problems in inference optimization, scalable systems design, and human-computer interaction