Job Description
We are building the infrastructure for the next era of artificial intelligence. As we project toward 2026, we are seeking a visionary Senior Generative AI Engineer to lead the development of autonomous reasoning agents and advanced Large Language Models (LLMs). If you are passionate about pushing the boundaries of machine learning and want to define the standards for the next generation of intelligent systems, we want to hear from you.
Join a team of world-class researchers and engineers dedicated to solving complex problems in natural language processing, computer vision, and multimodal reasoning.
Responsibilities
- Architect and deploy scalable foundation models, focusing on long-context reasoning and autonomous agent capabilities for the 2026 roadmap.
- Optimize model inference performance and reduce latency for real-time generative applications.
- Collaborate with product and engineering teams to integrate generative AI features into core business solutions.
- Conduct cutting-edge research to improve model accuracy, safety, and alignment with human values.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Establish and implement best practices for MLOps and model governance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field (or equivalent industry experience).
- 5+ years of professional experience in machine learning, with a focus on deep learning and generative models.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience working with state-of-the-art transformer architectures (e.g., GPT, BERT, LLaMA).
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work in a fast-paced, high-impact environment.