Jobgether

Compensation

Full Description

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 join a cutting-edge research team focused on developing novel machine learning and AI systems. You will work on designing and implementing experimental frameworks, real-time data management methods, and neural network architectures to solve complex, data-intensive problems. This role allows you to collaborate with interdisciplinary teams, contribute to fundamental AI research, and innovate in areas such as neuro-symbolic AI, deep learning, and simulation-based learning systems. You will write modular, testable research code, extend evolving codebases, and help optimize system components while contributing to hypothesis-driven experimentation. The position provides a flexible, collaborative environment that encourages curiosity, critical thinking, and professional growth. Accountabilities Develop modular, testable code to implement data management methods, statistical analyses, or architectural mechanisms. Extend and optimize evolving codebases to support structured learning experiments and neural network frameworks. Organize and maintain internal data structures for system components, including experimental runners, memory modules, and parameter schedulers. Write structured logging and diagnostic tools to support hypothesis-driven debugging and experimental validation. Collaborate closely with research scientists to translate conceptual research questions into computational implementations. Participate in the design, implementation, and iteration of simulation-based and real-time AI systems. Ensure compliance with corporate policies, procedures, and security standards while performing research activities. Ph.D. in Data Science, Computer Science, Software Engineering, or a related field from an accredited university. Minimum of 5 years of experience in fundamental data science research and implementation in academic, private, public, government, or military environments. Strong fluency in Python and experience with object-oriented and functional programming paradigms. Comprehensive understanding of deep learning internals, embeddings, attention mechanisms, optimization, and data parallelization. Experience with statistics, including detection theory, frequentist and Bayesian methods, and estimation theory. Familiarity with neuro-symbolic AI systems and AI research frameworks. Strong problem-solving skills, curiosity, fast learning ability, and solid communication skills. Comfortable working in a collaborative team with evolving problems and shared codebases. Competitive salary and variable incentive pay. Comprehensive medical, dental, and vision coverage. Flexible work arrangements and remote-friendly environment. Opportunities for professional growth and engagement in cutting-edge AI research. Retirement plans, paid time off, and other standard U.S. employment benefits. Collaborative, innovative, and supportive research culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1