Job Description
We are Chronos Systems, a pioneer in next-generation artificial intelligence, and we are seeking a visionary Lead Neural Architect to spearhead our flagship 2026 Initiative. As we look toward the future of human-computer symbiosis, you will be responsible for architecting the neural architectures that will define the next decade of technological advancement.
In this role, you won't just maintain existing systems; you will build the foundational models that power our autonomous decision-making engines. If you are passionate about the intersection of deep learning, quantum computing, and ethical AI, this is your opportunity to leave a lasting legacy in the tech industry.
Why You'll Thrive Here:
- Work with cutting-edge hardware and proprietary quantum-ready algorithms.
- Competitive compensation package and equity for early contributors.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Collaborate with world-class engineers and researchers.
Responsibilities
- Architect and deploy scalable deep learning models specifically tailored for the 2026 roadmap and beyond.
- Lead the research and development of generative AI frameworks, ensuring high-fidelity outputs.
- Mentor a team of junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Optimize model latency and inference speeds to handle real-time data streams.
- Establish best practices for data governance, model versioning, and deployment pipelines.
- Collaborate with product managers to translate complex technical requirements into actionable engineering solutions.
- Stay ahead of industry trends to ensure Chronos Systems remains at the forefront of AI evolution.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of professional experience in machine learning engineering and software development.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven experience designing systems that are scalable, fault-tolerant, and secure.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.