Job Description
Shape the Future of Intelligence
At 2026 Technologies, we are not just predicting the future; we are building it. We are a leading research lab pioneering the intersection of Generative AI and Quantum Computing. We are looking for a visionary Senior AI Architect to lead the development of our next-generation autonomous systems.
If you are passionate about pushing the boundaries of what is possible in machine learning and want to work with the brightest minds in Silicon Valley, we want to hear from you.
Why Join Us?
- Impactful Work: Your code will directly influence the evolution of AI agents.
- Top-Tier Talent: Collaborate with Ph.D. researchers and industry veterans.
- Equity & Growth: Competitive equity package and professional development budget.
Responsibilities
- Design and architect scalable, fault-tolerant AI infrastructure for high-volume data processing.
- Lead the research and implementation of state-of-the-art Deep Learning models (LLMs, Diffusion, RL).
- Collaborate with cross-functional teams to integrate AI solutions into consumer products.
- Drive technical strategy for model optimization, reducing latency and improving inference accuracy.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest academic research and industry trends to drive innovation.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
- Minimum of 6+ years of professional experience in AI/ML engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS/GCP).
- Experience deploying models in production environments with high availability requirements.
- Excellent problem-solving skills and a strong command of software engineering best practices.
Responsibilities
- Design and architect scalable, fault-tolerant AI infrastructure for high-volume data processing.
- Lead the research and implementation of state-of-the-art Deep Learning models (LLMs, Diffusion, RL).
- Collaborate with cross-functional teams to integrate AI solutions into consumer products.
- Drive technical strategy for model optimization, reducing latency and improving inference accuracy.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest academic research and industry trends to drive innovation.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
- Minimum of 6+ years of professional experience in AI/ML engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS/GCP).
- Experience deploying models in production environments with high availability requirements.
- Excellent problem-solving skills and a strong command of software engineering best practices.