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Point72
Develop modern NLP solutions using LLMs, agents, and RAG, explore and combine textual datasets, formulate research hypotheses to derive alpha, and post-train and benchmark models for specific tasks.
Requires a Bachelor's, Master's, or PhD in computer science or a quantitative discipline, experience in NLP (particularly LLMs), proficiency in Python, SQL, and general software engineering principles, and familiarity with the data science stack.
Role/Responsibilities:
We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc.
Responsibilities include:
We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact.
Requirements:
About Point72:
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.
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AI Est. Total Comp
$250,000
Location
New York
Work Type
On-site
Seniority
mid
Experience
3-5 years
Category
ML Engineering
Visa Sponsorship
Unknown
Quality Score
5.3