Job Description
We are Zai Future Labs, a premier research and development firm dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to spearhead our research into autonomous systems and next-generation neural networks.
In this pivotal role, you will not just write code; you will architect the intelligence that powers our ecosystem. You will work at the intersection of theoretical research and practical engineering, pushing the boundaries of what is possible in Generative AI and Predictive Modeling.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a focus on innovation.
If you are ready to build the systems of tomorrow, today, apply now.
Responsibilities
- Architect Scalable Models: Design and deploy state-of-the-art deep learning architectures capable of handling petabyte-scale data streams.
- R&D Leadership: Lead internal research initiatives to explore emerging paradigms in reinforcement learning and Large Language Models (LLMs).
- System Optimization: Engineer high-performance inference pipelines, reducing latency and maximizing computational efficiency.
- Technical Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Vision: Collaborate with C-level executives to define the technical roadmap and ensure alignment with the 2026 strategic vision.
- Cross-Functional Collaboration: Partner with product and design teams to translate complex AI capabilities into intuitive user experiences.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 7+ years of professional experience in Machine Learning Engineering, with at least 3 years in a leadership or senior architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming. Experience with cloud platforms (AWS, GCP, or Azure) is required.
- Specialized Knowledge: Proven track record in Natural Language Processing (NLP), Computer Vision, or Autonomous Systems.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize model performance.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.