Job Description
Are you ready to define the standard for Artificial Intelligence in 2026?
We are Zai Horizon Labs, a premier technology firm pioneering the future of generative intelligence. We are seeking a visionary Senior AI Engineer to join our elite R&D team and drive our '2026 Vision' initiative. You will be at the forefront of building scalable, ethical, and high-performance AI systems that will redefine human-computer interaction.
In this role, you won't just implement existing models; you will architect the infrastructure that powers the next decade of technological evolution.
Why Join Us?
- Industry Leadership: Work on projects that set the global standard for 2026.
- Autonomy: Lead architectural decisions with significant impact on product direction.
- Top-Tier Compensation: Competitive salary and equity package.
Responsibilities
- Architect Next-Gen Models: Design and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems optimized for the 2026 computing landscape.
- System Optimization: Engineer scalable machine learning infrastructure that handles billions of requests with sub-millisecond latency.
- R&D Leadership: Lead research initiatives exploring novel approaches in reinforcement learning and autonomous agents.
- Collaborative Innovation: Partner with product and engineering teams to translate complex AI concepts into intuitive user experiences.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Ethical AI: Implement rigorous safety protocols and bias mitigation strategies to ensure responsible AI deployment.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow with a strong understanding of neural network architectures.
- Experience: 5+ years of professional experience in building, training, and deploying production-level machine learning models.
- Cloud Mastery: Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- NLP/GenAI: Demonstrated experience in Natural Language Processing, NLP pipelines, and Generative AI technologies.
- Problem Solving: Exceptional ability to tackle complex, unstructured problems and derive elegant technical solutions.