Job Description
Shape the Future of Intelligence
We are on a mission to redefine the boundaries of artificial general intelligence. As a key architect for our upcoming Project 2026, you will lead the design of the next generation of multi-modal reasoning engines. This is not just about coding; it is about envisioning a world where AI seamlessly integrates into every facet of human enterprise.
Join us in San Francisco to build scalable, robust, and ethically aligned systems that will power the digital economy of tomorrow.
Responsibilities
- System Architecture: Design and implement high-performance distributed systems capable of processing petabytes of multi-modal data.
- Model Optimization: Lead efforts in model compression, quantization, and inference acceleration to reduce latency and energy consumption.
- R&D Leadership: Define the technical roadmap for Project 2026, evaluating emerging frameworks and libraries.
- Collaboration: Partner with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
- Code Review & Mentorship: Establish engineering best practices and mentor junior engineers on advanced machine learning architectures.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field with a focus on AI/ML.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architect or lead role.
- Technical Stack: Proficiency in Python, C++, and deep familiarity with PyTorch or TensorFlow.
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Infrastructure: Experience with cloud platforms (AWS/Azure/GCP) and containerization technologies (Docker, Kubernetes).