We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Data Science Research Specialist (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Data Science Research Specialist in the United States.. As an AI Data Science Research Specialist, you will contribute to cutting-edge research in AI and machine learning by developing novel learning system frameworks and experimental infrastructure. You will collaborate with a team of innovative researchers to implement high-performance data management methods, neural network architectures, and real-time data processing solutions. The role emphasizes hands-on development, from coding and simulation to optimization and visualization of complex systems. You will work on modular, testable code to enable hypothesis-driven experimentation and ensure scalability and reproducibility. This position offers exposure to state-of-the-art AI research, opportunities to influence system design, and the chance to tackle challenging data-driven problems. You will also engage with colleagues across teams to align technical approaches with research goals.. . Accountabilities. Design and implement real-time data management methods, neural network structures, and modular experimental systems.. Extend and maintain codebases to support structured learning experiments and simulation infrastructure.. Organize internal data structures for system components, including memory modules, experimental runners, and parameter schedulers.. Develop structured logging and diagnostic tools to support iterative, hypothesis-driven debugging.. Collaborate with other researchers to translate research objectives into practical implementation strategies.. Ensure code quality, maintainability, and reproducibility in all experimental and production environments.. . Ph.D. in Data Science, Computer Science, Software Engineering, or a related field from an accredited university.. 5+ years of experience in fundamental data science research and implementation in academic, private, public, government, or military environments.. Strong fluency in Python and familiarity with object-oriented and functional programming paradigms.. Experience in statistical modeling, frequentist and Bayesian methods, detection theory, and estimation theory.. Deep understanding of neural network internals, embeddings, attention mechanisms, and optimization strategies.. Knowledge of neuro-symbolic AI systems, simulation frameworks, and recursive dynamics.. Experience with parallelization, real-time data management, and visualization methods for structured probabilistic models.. Strong analytical, problem-solving, and communication skills; ability to collaborate in evolving, research-driven environments.. Curious, fast learner, and comfortable building or modifying systems from scratch.. . Company Location: United States.