Job Description
Are you ready to shape the future of intelligence? 2026 is seeking a visionary Senior Machine Learning Engineer to lead our breakthrough initiatives in Generative AI and Autonomous Systems. Join a team of world-class researchers and engineers dedicated to solving the most complex problems of the next decade.
We are not just building software; we are architecting the next era of human-machine interaction. As a key member of our AI division, you will have the autonomy to explore cutting-edge architectures and the responsibility to deliver scalable, production-ready solutions that define the industry standard.
Responsibilities
- Design, develop, and deploy state-of-the-art machine learning models and algorithms.
- Lead research initiatives focused on Large Language Models (LLMs), NLP, and Computer Vision.
- Collaborate closely with product managers and engineers to integrate AI capabilities into our core platform.
- Optimize model inference performance and ensure high availability across distributed systems.
- Mentor junior data scientists and engineers, fostering a culture of technical excellence and innovation.
- Establish and enforce best practices for data pipelines, model monitoring, and version control.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in machine learning engineering or applied research.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Extensive experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Demonstrated success in deploying models to production environments with high scalability.
- Deep understanding of distributed systems, data structures, and algorithmic complexity.