Job Description
Are you ready to shape the technological landscape of 2026?
Zai Future Tech is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI/ML Architect (2026 Vision) to lead our research and development division. In this pivotal role, you will design the algorithms and systems that will define the industry standard for the year 2026 and beyond.
Join a team of world-class engineers and data scientists committed to pushing the boundaries of what is possible. We offer a competitive compensation package, equity options, and a remote-first culture that empowers innovation.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and Generative AI.
- Competitive salary and equity package.
- Flexible remote work policy.
- Continuous learning and development budget.
Responsibilities
- Architectural Leadership: Design and implement scalable, robust AI architectures capable of handling 2026-scale data volumes and computational demands.
- Model Development: Spearhead the research and deployment of state-of-the-art machine learning models, including Transformers and diffusion models.
- System Optimization: Optimize existing pipelines for latency, throughput, and cost-efficiency to ensure high-performance production environments.
- Team Mentorship: Lead a team of talented data scientists and ML engineers, conducting code reviews, technical architecture discussions, and mentorship sessions.
- Strategic Innovation: Identify emerging trends in AI (e.g., AGI readiness, edge computing) and integrate them into our product roadmap.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software engineering, machine learning, or data science.
- Technical Skills: Deep proficiency in Python, C++, or Rust. Strong experience with PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Proven track record in NLP, Computer Vision, or Reinforcement Learning.
- Infrastructure: Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.