Job Description
Are you ready to shape the future?
At 2026, we are not just building software; we are architecting the reality of tomorrow. As a leader in next-gen artificial intelligence, we are looking for a visionary Senior AI Architect to join our elite team in San Francisco.
You will be at the forefront of developing autonomous systems and quantum-ready algorithms that will redefine human-machine interaction. We value audacious thinking, technical excellence, and a passion for pushing the boundaries of what is possible in the year 2026 and beyond.
Why join 2026?
• Work on high-impact projects that will influence the global tech landscape.
• Access to cutting-edge hardware and research facilities.
• Competitive equity package and comprehensive benefits.
At 2026, we are not just building software; we are architecting the reality of tomorrow. As a leader in next-gen artificial intelligence, we are looking for a visionary Senior AI Architect to join our elite team in San Francisco.
You will be at the forefront of developing autonomous systems and quantum-ready algorithms that will redefine human-machine interaction. We value audacious thinking, technical excellence, and a passion for pushing the boundaries of what is possible in the year 2026 and beyond.
Why join 2026?
• Work on high-impact projects that will influence the global tech landscape.
• Access to cutting-edge hardware and research facilities.
• Competitive equity package and comprehensive benefits.
Responsibilities
- Architect and deploy scalable machine learning models for next-gen applications.
- Lead research initiatives in Generative AI, Computer Vision, and Reinforcement Learning.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Mentor junior engineers and establish best practices for data science and AI engineering.
- Optimize model performance for latency and throughput in production environments.
- Stay ahead of industry trends and implement innovative technologies.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning engineering.
- Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Experience with large-scale data processing (Spark, Kafka, Hadoop).
- Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.