Job Description
Welcome to 2026 Technology, where we are engineering the future of intelligent systems. We are seeking a Senior AI Engineer to spearhead our research and development initiatives, focusing on scalable machine learning architectures and next-gen generative AI solutions.
In this pivotal role, you will be responsible for building the core algorithms that will power our products in the coming decade. You will work in a fast-paced, collaborative environment with a team of world-class researchers and engineers. If you are passionate about pushing the boundaries of what is possible with artificial intelligence and have a knack for solving complex technical challenges, we want to hear from you.
What You Will Do
- Architect and implement robust machine learning pipelines and deep learning models.
- Optimize model performance for speed, accuracy, and scalability in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into user-facing products.
- Conduct cutting-edge research to identify new opportunities for AI application and efficiency.
- Mentor junior engineers and contribute to the technical roadmap of the company.
Responsibilities
- Design, train, and fine-tune state-of-the-art neural networks (e.g., Transformers, GANs).
- Implement rigorous testing strategies and ensure the reliability of deployed models.
- Work with large datasets to improve model accuracy and reduce bias.
- Stay abreast of the latest advancements in AI research and integrate relevant innovations.
- Document technical specifications and architectural decisions clearly.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, preferably in a startup or high-growth tech environment.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and a strong track record of delivering production-ready code.