Job Description
We are seeking a visionary Lead AI Research Engineer to define the technical roadmap for our 2026 AI ecosystem. In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, focusing on next-generation neural architectures and hybrid quantum-classical computing models.
Your work will directly impact how millions of users interact with intelligent systems, ensuring our platforms remain at the cutting edge of human-computer interaction.
Responsibilities
- Lead the development of proprietary Large Language Models (LLMs) optimized for 2026 latency standards.
- Architect scalable inference pipelines capable of handling real-time, multi-modal data streams.
- Collaborate with quantum computing researchers to integrate quantum algorithms into classical machine learning workflows.
- Establish and enforce best practices for AI ethics, bias mitigation, and safety protocols.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Publish cutting-edge research in top-tier conferences (NeurIPS, ICML) and contribute to open-source communities.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related quantitative field with a focus on AI/ML.
- Extensive experience (5+ years) designing and deploying deep learning models at scale.
- Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling.
- Deep understanding of Transformer architectures, attention mechanisms, and generative AI techniques.
- Proven track record of leading cross-functional teams in fast-paced startup environments.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.