Research Scientist - AI

Overview

Research Scientist - AI Applications

Location: Hoboken, NJ

Division: Technology

Department: Engineering

Reports to: Ting Bu

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.

We are seeking a Research Scientist to drive innovation in advanced information processing and explore diverse AI applications. This role focuses on algorithm development, problem formulation, and experimental validation. While a key initial focus involves information processing (such as image denoising), the position emphasizes strong AI fundamentals, disciplined exploration, and the ability to apply technical reasoning to a wide range of problem domains.

Advanced Information Processing

• Design, implement, and evaluate algorithms for information and signal processing, with representative problems such as image denoising for low-signal-to-noise ratio data
• Analyze and model data characteristics (e.g., noise modeling and analysis, signal extraction, or structured data patterns).
• Formulate complex problems using objective functions, regularization, or optimization-based approaches.
• Benchmark novel methods against classical and modern AI baselines using quantitative metrics.

AI Application Exploration

• Explore and develop prototype AI applications for emerging fields, including Photonic Chip Design.
• Perform feasibility studies and develop proof-of-concept implementations for new problem sets.
• Compare alternative architectural approaches and provide data-driven recommendations to the leadership team.

Collaboration & Communication

• Work closely with technical leadership to define research problems, execute experiments and refine problem formulations.
• Document assumptions, methods, and results in clear, concise technical reports, internal notes, or draft publications.
• Produce high-quality visualizations and comparative analyses suitable for internal review and external dissemination.

• Education:
  
  Master’s degree with at least 3 years of relevant experience or PhD in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related field.
• Diverse AI Portfolio: A wide range of experience across different models of AI applications, demonstrating the ability to adapt and map various architectures to unique mathematical or computational constraints.
• Technical
  
  Skills:
  • Solid understanding of optimization, objective-function design, or energy-based modeling.
  • Strong background in general signal/information processing.
  • Proficiency in Python and scientific ML tools (Num Py, Sci Py, PyTorch, or equivalent).

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.