Job Description
We are pioneering the next generation of Artificial Intelligence, and we are looking for a visionary Lead AI Architect to define the roadmap for our 2026 breakthroughs.
In this pivotal role, you will lead a team of elite engineers and researchers in building the foundational models that will power the next decade of autonomous agents and multimodal intelligence. If you are passionate about pushing the boundaries of what is possible in machine learning and want to shape the future of technology, we want to hear from you.
Why join us?
- Work on cutting-edge Long-Context LLMs and reasoning engines.
- Competitive compensation package with equity options.
- State-of-the-art facilities in the heart of Silicon Valley.
Responsibilities
- Architect and deploy scalable AI infrastructure capable of handling exabyte-scale data processing.
- Lead the research and implementation of Next-Gen Neural Architectures specifically tailored for 2026 capabilities.
- Oversee the fine-tuning and alignment of large language models for enterprise-grade safety and efficiency.
- Mentor a high-performing engineering team, fostering a culture of innovation and technical excellence.
- Collaborate with product leaders to translate research breakthroughs into market-defining products.
- Define the technical strategy for transitioning legacy systems to modern, agentic AI frameworks.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
- 7+ years of experience in machine learning engineering, with at least 3 years in a leadership or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying production-ready AI models with high accuracy and low latency.
- Experience with Large Language Models (LLMs), vector databases, and RAG (Retrieval-Augmented Generation) pipelines.
- Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and distributed systems.
- Excellent communication skills and the ability to articulate complex technical concepts to diverse stakeholders.