Senior Machine Learning Engineer (LLM) Full-time

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional individual to join the firm as an LLM Developer with a focus on Data Intelligence. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. The successful individual will design, code, test and implement proprietary Machine Learning systems and tools to drive our business strategies. You will collaborate with other teams to gather, analyze and spec out requirements, develop/test code, and manage product deliverables.

What You’ll Bring:

• Experience working with large language models such as OpenAI’s GPT-4 and embedding models, as well as other NLP technologies.
• Experience with Agent development based on technologies such as Langchain or Huggingface.
• Practical experience with AI/ML platforms such as Vertex AI.
• Knowledge of vector databases (such as Pinecone, Milvus, Faiss, etc.) will be a major plus.
• A strong background in Machine Learning and Data Science.
• Familiarity with Python and common data libraries (Pandas, Numpy, etc.)
• Knowledge of cloud environments, preferably GCP.
• An eagerness to learn about new business areas and technologies.
• Strong problem-solving skills, along with clear and concise communication.

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