Vatic Investments
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As an AI Engineer, you will design and develop frameworks for training and evaluating large foundational models while collaborating with researchers and engineers. You will contribute to large-scale experiments and optimize software performance in a modern cloud environment.
As an AI Researcher at Vatic Investments, you will develop AI-driven quantitative trading strategies using large market data. Your role involves applying advanced technologies like large language models and neural networks to optimize trading opportunities. Collaboration among top AI talent fosters innovation and growth in this environment.
As a C++ Software Engineer, you will develop scalable, high-performance trading systems, collaborating with traders and researchers. Responsibilities include performance tuning, optimization, and innovation in software frameworks, focusing on low latency and throughput requirements.
As a Quantitative Researcher, you'll research and develop quantitative strategies, utilizing large data sets and applying machine learning algorithms to identify trading opportunities. You will be expected to generate impactful research and possess deep knowledge in time-series analysis, primarily using Python and possibly C++.
As a Python Engineer, you will design and implement CI/CD tools, optimize trading systems' performance, build monitoring systems, and support mission-critical applications. You will collaborate with various teams to enhance systems and work on automation in a fast-paced environment.