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Senior AI Research Engineer - Project 2026

Chronos 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Welcome to Chronos 2026, where we are not just predicting the future; we are architecting it. We are a elite research lab dedicated to building the autonomous systems and generative intelligence frameworks that will define the technological landscape of the year 2026 and beyond.

We are seeking a visionary Senior AI Research Engineer to lead the core development of our next-generation neural architectures. If you are passionate about pushing the boundaries of Deep Learning and want to work on projects that will literally shape the future of humanity, we want you on our team.

Why join us?

  • Work on cutting-edge AI that impacts millions of users globally.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a focus on innovation.

Are you ready to build the legacy of 2026?

Responsibilities

  • Lead the design and implementation of scalable deep learning models for autonomous agents and predictive analytics.
  • Conduct high-level research to improve the efficiency and accuracy of our core algorithms.
  • Collaborate with cross-functional teams to integrate AI models into real-world consumer applications.
  • Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
  • Stay ahead of the curve by analyzing emerging trends in AI, Quantum Computing, and Neural Interfaces.
  • Optimize existing infrastructure to support the massive computational demands of 2026-scale projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in machine learning research or applied AI.
  • Extensive knowledge of Python, PyTorch, and TensorFlow.
  • Strong background in Natural Language Processing (NLP) or Computer Vision.
  • Proven track record of publishing in top-tier AI conferences or delivering production-grade AI systems.
  • Demonstrated ability to thrive in fast-paced, high-stakes environments.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision Research AI Architecture

Ready to Take This Challenge?

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