Job Description
We are at the forefront of technological evolution, and we are looking for a visionary Senior AI Architect to lead our flagship Project 2026 initiative. Project 2026 is our bold roadmap to redefine the boundaries of generative intelligence and autonomous systems. As a key member of our elite engineering team, you will be responsible for architecting scalable, secure, and high-performance AI models that will power the next generation of digital experiences.
Why join us?
- Work on groundbreaking technology that shapes the future.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities in the heart of San Francisco.
- Access to state-of-the-art hardware and research resources.
If you are passionate about pushing the envelope of artificial intelligence and want to leave a lasting legacy in the industry, we want to hear from you.
Responsibilities
- Architect and design the core neural network infrastructure for Project 2026, focusing on efficiency and scalability.
- Lead the research and implementation of advanced Machine Learning algorithms to solve complex, real-world problems.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Mentor junior engineers and conduct code reviews to maintain high standards of software quality and architectural integrity.
- Optimize model inference times and reduce computational costs across distributed systems.
- Stay ahead of the curve by integrating cutting-edge research into production environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior or leadership role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale machine learning models to production.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.