Job Description
We are seeking a visionary Lead AI Architect to spearhead the technical vision for Project 2026, our next-generation autonomous infrastructure platform. As we prepare to launch the future of enterprise intelligence, you will design the neural backbone that powers our ecosystem. This is a rare opportunity to define the standard for 2026 and beyond.
Why Join Us?
We are a top-tier research lab pushing the boundaries of Generative AI and predictive modeling. You will work with a world-class team of researchers, engineers, and designers in the heart of San Francisco's tech hub.
Key Responsibilities:
- Architect and deploy scalable machine learning pipelines for Project 2026.
- Lead a team of ML engineers in optimizing model inference and latency.
- Collaborate with product teams to translate complex AI capabilities into user-centric features.
- Ensure data privacy, security, and ethical AI compliance across all systems.
- Pioneer new techniques in multi-modal learning and autonomous decision-making.
Qualifications:
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- 8+ years of experience in AI/ML engineering, with at least 3 years in a leadership role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in NLP, Computer Vision, or Reinforcement Learning.
Benefits:
Competitive equity, fully remote-flexible options, and access to cutting-edge hardware for R&D.
Responsibilities
- Architect scalable machine learning pipelines for Project 2026.
- Lead a team of ML engineers in optimizing model inference and latency.
- Collaborate with product teams to translate complex AI capabilities into user-centric features.
- Ensure data privacy, security, and ethical AI compliance across all systems.
- Pioneer new techniques in multi-modal learning and autonomous decision-making.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- 8+ years of experience in AI/ML engineering, with at least 3 years in a leadership role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in NLP, Computer Vision, or Reinforcement Learning.