Data Science PhD Agentic AI Research Role - Remote (US)

Client is looking for PhD or Masters Researchers from Ivy Legue universities:
such as Harvard / Yale / Princeton / Columbia / University of Pennsylvania / Brown / Dartmouth / Cornell only.

Experience Level:

Recent PhD graduates minimal industry experience preferred

Required Skills:

Technical Skills: Statistics, Machine Learning, Artificial Intelligence, TensorFlow, PyTorch, Agentic AI, Python

Description:

• 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 our internal teams.

Key Responsibilities:

• Conduct research and experimentation in Agentic AI autonomous agents multiagent systems and advanced machine learning.
• Develop prototypes models and algorithms to support ATTs research objectives Analyze largescale datasets to derive insights and validate research hypotheses.
• Collaborate with client's 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