Apply the latest AI technologies to solve real world problems and streamline day-to-day operations for fundamental equities at Point72
Requirements
- Cutting edge knowledge of LLMs and modern AI systems, including prompt engineering, fine‑tuning, evaluation, tool‑use, and retrieval‑based architectures.
- Proficiency in Python, SQL, and general software engineering principles.
- Experience building internal platforms or tools with heavy end user interaction and feedback.
- Academic or industry experience with data analysis, NLP, or applied machine learning beyond LLMs.
- Strong ability to tackle open‑ended and complex problems and develop practical, deployable solutions.
- Knowledge of machine learning, computer science, statistics, or other quantitative discipline.
- Experience with emerging AI capabilities and technologies.
Responsibilities
- Partner closely with investment professionals to understand their workflows and process and translate those into high impact AI solutions.
- Design and build AI‑driven research tools and workflows, with a focus on large language models (LLMs), retrieval‑augmented generation, and agentic systems.
- Build GenAI solutions, leveraging both internal models and external APIs.
- Apply emerging AI capabilities pragmatically, balancing innovation with robustness, speed, and adoption.
- Drive solutions from concept to production, including prototyping, evaluation, deployment, and user feedback loops.
- Collaborate with the AI platform engineering team to ensure solutions are scalable and well-integrated with existing systems.
- Be on the frontier of applying new AI technology, continually assessing new models and techniques for commercial relevance.
Other
- Bachelors, MS, or PhD in machine learning, computer science, statistics, or other quantitative discipline.
- Ability to work cooperatively in a team-oriented, fast-paced environment
- Strong communication skills and ability to collaborate with non‑technical but highly sophisticated end users.
- Strong commercial mindset.
- Commitment to the highest ethical standards.
