AI Engineer
Confirmed live in the last 24 hours
Vatic Investments

11-50 employees

Quantitative trading firm developing autonomous trading agents.
Company Overview
Vatic Investments stands out as a forward-thinking quantitative trading firm, where a diverse team of traders, AI researchers, and technologists collaboratively develop autonomous trading agents and advanced technology to enhance market efficiency and transparency. The firm's commitment to high standards and continuous self-improvement is evident in its recent appointment of a globally recognized AI expert as Chief AI Officer, reinforcing its leadership in the industry. Vatic's culture of investing in people, fostering collaboration, and encouraging exceptional results makes it an attractive workplace for ambitious professionals.
Financial Services
Venture Capital

Company Stage

N/A

Total Funding

N/A

Founded

2013

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

5%

2 year growth

20%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Linux/Unix
CategoriesNew
AI & Machine Learning
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
  • 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
Desired Qualifications
  • Experience with large foundational models
  • Experience with data modalities such as language, vision, multimodal, and structured data
  • Experience with modern model architectures