Responsibilities
- Design, build, and implement applied AI systems that improve the quality of human decisions and unlock major efficiencies.
- Collaborate with software engineers and data scientists to solve complex problems in inference optimization, scalable systems design, and human-computer interaction.
- Identify the most impactful problems to solve, translating 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.
- Deliver solutions designed to generate tangible economic impact.
Requirements
- 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
Nice to Have
- Cloud Infrastructure
- Git
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
- 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.
