Application architect

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

Job Type: 6-12 months contract

Note: 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 OpenKyber's advanced research teams on exploratory and applied AI projects that push the boundaries of intelligent agent behavior reasoning and autonomy.

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 OpenKyber'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

• 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

For applications and inquiries, contact: [email protected]