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Head of LLM Quantitative Strategy Team Stamford, CT

Job in New York, New York County, New York, 10261, USA
Listing for: Quant Blueprint LLC
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 175000 - 275000 USD Yearly USD 175000.00 275000.00 YEAR
Job Description & How to Apply Below
Position: Head of LLM Quantitative Strategy Team (USA)Stamford, CT, United States
Location: New York

Vatic is looking for an AI engineer with proven experience with large foundational models. Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next‑generation platforms and tools for Machine Learning as well as conducting state‑of‑the‑art research.

Responsibilities
  • Play a crucial role in designing and developing cutting‑edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.
  • Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures.
  • Play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis.
Qualifications
  • Keen interest in training, evaluation, understanding, and innovation of foundational models.
  • Advanced proficiency with Python development in a Linux environment.
  • Strong understanding of machine learning, deep learning, and generative AI methods and technologies.
  • Direct experience with multi‑GPU model training.
  • Demonstrable success building high‑performance software.
  • Performance tuning/optimization of software and algorithms.
  • Familiarity with parallel computing models and frameworks.
  • Strong analytical and problem‑solving skills.
  • A passion for trading, research, and technology.
  • Excitement and interest in using readily available open‑source technologies and prototypes.
  • Excellent communication skills.
  • Confident team player motivated by a fast‑paced environment.
Benefits
  • Ping pong and poker games.
  • Fun team outings.
  • Unlimited office snacks.
  • Free breakfast, lunch, and dinner.
  • Gym membership.
  • Full health insurance coverage for employees and dependents.

* The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.*

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