Europe Remote (Global) Internship

QuantCo is hiring an AI Engineering Intern

Requirements

  • BSc, MSc or PhD in Computer Science, Engineering, Physics, or a related technical or STEM field from a leading university.
  • Experience working with relevant models and/ or architectures within the following fields: Computer Vision, Natural Language Processing, or Graph Neural Networks.
  • Experience programming in Python.
  • Familiarity with the frontier labs 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.
  • Strong computer science fundamentals in areas such as data structures, cloud infrastructure, distributed systems, machine learning, and high-performance computing.
  • Experience and willingness to work through the challenges associated with large, unstructured, real-world data sets.

Benefits

  • generous compensation package that includes a base salary, bonus, stock options, and relocation support
  • additional location-based benefits

Work Arrangement

Remote (Worldwide) — Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, Zurich

Additional Information

  • relocation support
  • QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
About company
QuantCo

QuantCo leverages expertise in data science, engineering, and economics to help organizations turn data into decisions. Headquartered in Boston, QuantCo has offices in Berlin, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.

QuantCo was founded by four Harvard and Stanford PhDs. Our team of over one hundred economists, data scientists, software engineers, and machine learning experts creates tangible economic impact by pairing state-of-the-art data expertise with business acumen.

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Job Details
Department Engineering
Category Data & ML
Posted 10 months ago