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Senior AI Research Scientist - Future Tech 2026

Chronos Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 245.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Architecting the Intelligence of Tomorrow

Chronos Future Systems is pioneering the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Research Scientist to join our elite team in San Francisco. In this pivotal role, you will spearhead the development of advanced machine learning models designed to solve complex problems for the year 2026 and beyond.

You will work at the intersection of theoretical research and practical application, driving innovation that defines the future of tech.

Responsibilities

  • Lead the research and development of scalable deep learning architectures for future-proof applications.
  • Optimize and fine-tune large language models (LLMs) and neural networks for high-performance inference.
  • Collaborate with product teams to translate technical research into market-ready features.
  • Design robust data pipelines to ensure the integrity and quality of training datasets.
  • Mentor a team of junior researchers and data scientists, fostering a culture of technical excellence.
  • Publish groundbreaking research findings in top-tier conferences and journals.
  • Implement best practices for MLOps to streamline model deployment and monitoring.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related quantitative field.
  • 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed computing, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with model evaluation metrics and A/B testing frameworks.
  • Demonstrated ability to lead complex technical projects from conception to production.
  • Exceptional written and verbal communication skills.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AWS GCP Docker Kubernetes

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