Job Description
We are seeking a visionary Senior AI Research Scientist to lead our research division into the next era of artificial intelligence. As we prepare for the technological paradigm shift of 2026, you will be at the helm of designing and deploying state-of-the-art generative models that redefine human-machine interaction. This is a unique opportunity to work on cutting-edge foundational models, multimodal systems, and autonomous agents in a high-growth environment.
Why Join Us?
You will have the autonomy to explore bold research directions, access to massive compute resources, and the chance to mentor the next generation of AI talent. Our mission is to build the infrastructure that powers the intelligent applications of tomorrow.
Responsibilities
- Architect Next-Gen LLMs: Design and implement large-scale language models optimized for efficiency, safety, and advanced reasoning capabilities.
- Multimodal Research: Lead research initiatives into integrating vision, audio, and text to create unified, context-aware AI agents.
- Model Optimization: Reduce inference costs and latency while maintaining high accuracy across diverse deployment scenarios.
- Talent Development: Mentor junior researchers and data scientists, fostering a culture of innovation and rigorous scientific inquiry.
- Collaboration: Partner with product engineering teams to translate theoretical research into scalable, production-ready software.
- Publications: Publish groundbreaking findings in top-tier conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Experience: 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Model Mastery: Deep understanding of Transformer architectures, Attention mechanisms, and Generative Adversarial Networks (GANs).
- Problem Solving: Demonstrated ability to tackle complex, open-ended research problems and deliver innovative solutions.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.