Job Description
Shape the Future of Intelligence in 2026
Chronos AI is at the forefront of the technological singularity, building the infrastructure for a synthetic tomorrow. We are seeking a visionary Principal AI Research Scientist to lead our next-generation model development. In this pivotal role, you will define the architectural blueprints for AI systems that will define the 2026 era.
Join a world-class team where you will tackle unsolved problems in neural networks, natural language processing, and autonomous decision-making systems. If you are driven by the challenge of pushing the boundaries of what machines can learn, we want to hear from you.
What You Will Do:
- Lead the research and development of proprietary deep learning architectures.
- Define the technical roadmap for AI capabilities targeting the 2026 deployment cycle.
- Collaborate with engineering teams to translate theoretical models into scalable production code.
- Mentor senior researchers and foster a culture of high-impact innovation.
- Ensure robust ethical guidelines and safety protocols in all AI deployments.
Qualifications:
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in machine learning research and R&D.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Transformer models, Generative AI, and Reinforcement Learning.
- Proven experience in leading multi-disciplinary teams and research initiatives.
- Strong publication record in top-tier conferences (NeurIPS, ICML, ICLR).
Responsibilities
- Architect and implement state-of-the-art deep learning models tailored for 2026 market demands.
- Lead a high-performance team of data scientists and ML engineers.
- Collaborate with cross-functional stakeholders to translate complex research into product features.
- Publish high-impact research papers and patents in the AI domain.
- Mentor junior researchers and foster a culture of innovation.
- Ensure ethical AI standards and data privacy compliance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in AI/ML research and development.
- Proven track record of deploying production-grade models (e.g., TensorFlow, PyTorch).
- Deep understanding of Transformer architectures and Generative AI.
- Strong experience with distributed computing and cloud infrastructure (AWS/GCP).
- Exceptional communication and leadership skills.