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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer: The 2026 Horizon

Chronos Advanced Technologies
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Chronos Advanced Technologies is pioneering the next generation of artificial intelligence systems designed to revolutionize the year 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to join our elite R&D division. In this role, you will architect and deploy cutting-edge machine learning models that push the boundaries of generative AI and predictive analytics.

Our mission is to build the technological infrastructure for a smarter future. You will work in a high-performance environment focused on innovation, scalability, and ethical AI implementation.

Responsibilities

  • Lead the research and development of proprietary AI models targeting 2026 deployment standards.
  • Design scalable neural network architectures capable of handling complex, real-time data streams.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Optimize existing algorithms for improved efficiency, accuracy, and reduced computational costs.
  • Conduct rigorous testing and validation of AI systems to ensure robustness and safety.
  • Mentor junior engineers and contribute to the technical vision of the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in deep learning and machine learning engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Demonstrated ability to publish research and drive innovation in AI methodologies.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP AWS Kubernetes Generative AI

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