Job Description
We are seeking a visionary AI Research Engineer to lead the charge in developing the next generation of generative models. As we look toward 2026 and beyond, we need someone who isn't just writing code, but defining the architecture of tomorrow's intelligent systems.
Your work will directly impact how millions of users interact with our platform, pushing the boundaries of natural language processing and computer vision. If you are passionate about the future of technology and want to build scalable, ethical AI solutions, we want to meet you.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for large-scale, real-time applications.
- Conduct cutting-edge research to improve model accuracy, efficiency, and scalability in the 2026 AI landscape.
- Collaborate with cross-functional teams to integrate complex AI solutions into production environments.
- Optimize inference speeds and reduce resource consumption for cloud-based deployment.
- Stay ahead of emerging trends in Generative AI and Large Language Models (LLMs).
- Mentor junior engineers and define best practices for the machine learning engineering team.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of MLOps, Docker, and cloud infrastructure (AWS/GCP).
- Experience with vector databases and semantic search technologies.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.