Job Description
Join the Architects of 2026.
We are seeking a visionary Senior Machine Learning Engineer to define the technical roadmap for the year 2026. At Zai Future Labs, we don't just predict trends; we engineer the infrastructure that will power the next decade of innovation. You will lead a cross-functional team in developing cutting-edge AI solutions, focusing on Generative AI, Predictive Analytics, and autonomous systems.
As a key player in our '2026 Vision' initiative, you will bridge the gap between theoretical research and production-grade deployment, ensuring our platforms are scalable, secure, and ready for the future.
Responsibilities
- Lead the architectural design and implementation of core machine learning models for the 2026 product roadmap.
- Collaborate with product managers and data scientists to translate business requirements into robust technical solutions.
- Optimize existing models for improved latency and throughput in high-traffic environments.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Stay at the forefront of AI advancements to integrate emerging technologies into our stack.
Qualifications
- 5+ years of experience in machine learning engineering, deep learning, or related fields.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of deploying ML models into production environments.
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.