Data Science Researcher Agentic AI
Role: Data Science Researcher Agentic AI
Location: Remote (United States)
Note: Junior Candidate only between 4-8 years.
Job Description: Data Science PhD Agentic AI Research
Experience Level: Recent PhD graduates / Ongoing (minimal industry experience preferred)
About the Role
Client Research is seeking highly motivated Data Science PhD graduates to support cutting-edge research in Agentic AI, autonomous systems, and next-generation AI architectures. This is a unique opportunity to work directly with Client s advanced research teams on exploratory and applied AI projects that push the boundaries of intelligent agent behavior, reasoning, and autonomy.
Selected researchers will contribute to Client-assigned research initiatives while also collaborating with internal teams on joint innovation efforts.
Key Responsibilities
• Conduct research and experimentation in Agentic AI, autonomous agents, multi-agent systems, and advanced machine learning.
• Develop prototypes, models, and algorithms to support Client s research objectives.
• Analyze large-scale datasets to derive insights and validate research hypotheses.
• Collaborate with Client Research scientists and internal stakeholders to design and execute research studies.
• Document findings, prepare technical reports, and present results to research and engineering teams.
• Stay current with emerging research in AI, LLMs, reinforcement learning, and agent-based modeling.
Required Qualifications
• PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or related field (entry level candidates strongly preferred).
• Strong foundation in machine learning, deep learning, and AI research methodologies.
• Experience with Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Familiarity with LLMs, reinforcement learning, or agent-based systems.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work independently in a research-driven environment.
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