Research Scientist

3 days ago

Miami FL USA, United States GradBay Full time
Unlock the Power of AI and Engineering

At GradBay, we're pushing the boundaries of innovation in quantitative finance. As a Research Engineer, you'll be part of a dynamic team that's shaping the future of AI and engineering. Your expertise will drive the development of cutting-edge Alpha and AI infrastructure, empowering our researchers, analysts, and traders to make data-driven decisions.

Key Responsibilities:
  • Design and Implement High-Performance Solutions: Develop and deploy innovative solutions to modernize our Alpha and AI infrastructure, ensuring seamless integration with our existing systems.
  • Collaborate with Researchers: Work closely with our research team to define priorities, deliver new features, and optimize daily production systems, ensuring our infrastructure stays ahead of the curve.
  • Stay Ahead of the Curve: Explore the latest open-source AI and engineering solutions, adapting them for internal use and driving innovation within our organization.
Qualifications:
  • Strong Problem-Solving Skills and Excellent Communication: Demonstrate the ability to tackle complex problems and effectively communicate with cross-functional teams.
  • Proficient in Python and C++ Development: Showcase expertise in developing high-performance solutions using Python and C++.
  • Hands-on Experience with Machine Learning Libraries/Frameworks: Highlight experience with popular machine learning libraries and frameworks, such as PyTorch and HuggingFace.
  • Demonstrated Passion for AI and Engineering Excellence: Showcase a genuine passion for applying AI and engineering excellence to drive impact in quantitative finance.
Bonus Points:
  • Experience with the Entire Product Lifecycle: Highlight experience working across the entire product lifecycle, from conceptualization to production.
  • Expertise in Building High-Performance Infrastructure: Showcase expertise in designing and building high-performance infrastructure that meets the needs of our researchers and analysts.
  • Experience with LLM Applications: Highlight experience with large language model (LLM) applications using open-source projects or orchestration frameworks.
  • Familiarity with Information Retrieval Systems and Semantic Search: Showcase familiarity with information retrieval systems and semantic search techniques.
  • Knowledge of Classical NLP Tools: Highlight knowledge of classical natural language processing (NLP) tools and techniques.

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