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Senior AI Research Engineer | Project 2026

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Vanguard of Future Tech

Chronos Systems is pioneering the Project 2026 initiative, a revolutionary roadmap designed to redefine the boundaries of artificial general intelligence. We are seeking a visionary Senior AI Research Engineer to lead our R&D efforts, shaping the algorithms that will define the next decade of technology.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world applications. You will work in a high-performance environment alongside world-class researchers and engineers, pushing the envelope of what is possible in neural architecture and predictive modeling.

Why Join Us?

  • Work on cutting-edge technology that influences the industry landscape.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with access to top-tier tech infrastructure.
  • Opportunity for rapid career growth in a scaling organization.

We are looking for a self-starter who thrives in ambiguity and is passionate about solving complex problems.

Responsibilities

  • Lead the architectural design and development of next-generation neural networks for the Project 2026 roadmap.
  • Conduct advanced research in Natural Language Processing (NLP) and computer vision to drive innovation.
  • Collaborate with cross-functional teams to translate theoretical research into production-ready models.
  • Optimize existing algorithms for speed, accuracy, and efficiency in high-latency environments.
  • Publish high-impact research papers and contribute to the company's intellectual property portfolio.
  • Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of experience in applied machine learning and deep learning research.
  • Expert proficiency in Python, PyTorch, or TensorFlow with a deep understanding of their underlying mechanics.
  • Proven track record of publishing at top-tier conferences (NeurIPS, ICML, ACL) or holding patents.
  • Strong understanding of distributed systems and large-scale data processing pipelines.
  • Excellent communication skills, capable of explaining complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research Distributed Systems Algorithm Design

Ready to Take This Challenge?

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