Job Description
Are you ready to architect the future? Chronos Dynamics is seeking a visionary Senior AI Research Engineer to lead our flagship The 2026 Initiative. We are not just building software; we are engineering the foundational reality of a new technological era.
In this pivotal role, you will spearhead the development of next-generation artificial general intelligence, seamlessly integrating it with quantum computing protocols and advanced neural interfaces. If you are driven by the prospect of solving humanity's greatest challenges through code, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first policy with HQ in San Francisco.
- Access to state-of-the-art research facilities and supercomputing clusters.
Key Responsibilities
- Design and deploy scalable machine learning models capable of processing exabyte-scale data streams.
- Collaborate with quantum physicists to optimize algorithms for hybrid classical-quantum architectures.
- Lead the architecture of high-frequency trading systems and predictive analytics engines.
- Conduct rigorous testing of neural interface protocols to ensure zero-latency user experiences.
- Define technical roadmaps and mentor a team of elite engineers.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or Mathematics.
- Minimum of 6 years of experience in AI/ML engineering with a focus on deep learning.
- Proficiency in Python, TensorFlow, and PyTorch.
- Experience with quantum computing frameworks (Qiskit, Cirq, or similar).
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
Responsibilities
- Design and deploy scalable machine learning models capable of processing exabyte-scale data streams.
- Collaborate with quantum physicists to optimize algorithms for hybrid classical-quantum architectures.
- Lead the architecture of high-frequency trading systems and predictive analytics engines.
- Conduct rigorous testing of neural interface protocols to ensure zero-latency user experiences.
- Define technical roadmaps and mentor a team of elite engineers.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or Mathematics.
- Minimum of 6 years of experience in AI/ML engineering with a focus on deep learning.
- Proficiency in Python, TensorFlow, and PyTorch.
- Experience with quantum computing frameworks (Qiskit, Cirq, or similar).
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).