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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - San Francisco, CA

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are Chronos Systems, a pioneering force in the technology sector, preparing to redefine the digital landscape for the year 2026 and beyond. We are seeking a highly skilled and visionary Senior AI Research Engineer to join our elite research division in San Francisco. In this role, you will be at the forefront of developing next-generation artificial intelligence architectures that will power autonomous systems, generative models, and quantum-assisted computing interfaces.

Why Join Us?

Work with a world-class team of neuroscientists, quantum physicists, and software architects. We offer a competitive package, equity packages, and the opportunity to leave a lasting legacy in the tech world.

Responsibilities

  • Design and implement state-of-the-art deep learning models, specifically focusing on transformer architectures and multimodal learning for the 2026 ecosystem.
  • Lead the research and development of scalable neural networks capable of processing real-time quantum data streams.
  • Collaborate with cross-functional teams to integrate AI models into consumer and industrial hardware solutions.
  • Optimize model inference latency and accuracy for edge computing devices using advanced quantization techniques.
  • Conduct rigorous testing and validation of AI safety protocols to ensure ethical deployment of autonomous agents.
  • Publish high-impact research papers and contribute to open-source frameworks relevant to future tech stacks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 5 years of professional experience in machine learning research and production deployment.
  • Extensive experience with Python, PyTorch, TensorFlow, and C++.
  • Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, CVPR).
  • Ability to thrive in a fast-paced, high-stakes research environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow CUDA C++ Neural Networks Reinforcement Learning

Ready to Take This Challenge?

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