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Senior AI Research Scientist

Chronos Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are looking for a visionary Senior AI Research Scientist to join our elite team at Chronos Dynamics. As a pioneer in next-generation predictive modeling and generative AI, we are building the technological foundation for the 2026 era.

In this role, you will lead high-impact research projects aimed at solving complex, real-world problems using advanced deep learning techniques. You will work at the intersection of neuroscience, data science, and quantum computing to develop systems that are not only intelligent but also ethically aligned.

Join us in shaping the future of technology. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.

Responsibilities

  • Lead the research and development of cutting-edge Machine Learning models, focusing on NLP, Computer Vision, and Reinforcement Learning.
  • Design and implement scalable algorithms that drive the core product features for the 2026 roadmap.
  • Collaborate with product managers and engineering teams to translate theoretical research into production-ready software.
  • Publish high-impact research papers and contribute to open-source communities to establish thought leadership.
  • Mentor junior data scientists and researchers, fostering a culture of innovation and continuous learning.
  • Optimize model performance and accuracy, ensuring low-latency inference in high-volume environments.
  • Stay abreast of the latest advancements in AI research to identify new opportunities for technological integration.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML research and development.
  • Proficiency in programming languages such as Python, C++, or Java, with deep expertise in PyTorch or TensorFlow.
  • Strong understanding of deep learning architectures, including Transformers, GANs, and RNNs.
  • Experience with big data processing frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (AWS/GCP/Azure).
  • Proven track record of publishing in top-tier conferences or journals (NeurIPS, ICML, ACL, CVPR).
  • Excellent problem-solving skills and the ability to work independently in a fast-paced, dynamic environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Data Science AWS GCP Agile Research SQL Spark

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