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Vatic Investments

Quantitative trading with autonomous AI agents

AI Engineer

AI ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$175k - $275k /yrIn-person

About the Job

Requirements

  • 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

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.

About the Company

Vatic Investments

Quantitative trading with autonomous AI agents

Vatic Investments operates as a quantitative trading firm where traders, AI researchers, and technologists collaborate to create autonomous trading agents and advanced technology for financial markets. Its products use proprietary algorithms and AI to analyze data, predict market moves, and automatically execute trades, aiming to improve market efficiency and transparency. The company differentiates itself by combining cross-disciplinary expertise and in-house, data-driven trading systems that operate autonomously, rather than relying on manual strategies alone. Its goal is to deliver superior trading solutions and insights while generating profits from data-driven trading activities.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2013

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