Job Description
We are at the forefront of the technological revolution, and we are looking for a visionary Senior AI Research Scientist to join our team. As we prepare for the next era of computing, you will play a pivotal role in developing cutting-edge artificial intelligence solutions that will define the landscape of 2026 and beyond.
In this role, you will lead high-impact research projects, mentor junior engineers, and bridge the gap between theoretical machine learning and scalable production systems.
Responsibilities
- Lead Research Initiatives: Spearhead the development of advanced machine learning models, specifically focusing on Generative AI and Large Language Models (LLMs).
- Model Deployment: Design and implement robust MLOps pipelines to ensure models are deployed, monitored, and updated efficiently.
- Cross-Functional Collaboration: Work closely with product managers, data engineers, and designers to translate complex research into user-friendly applications.
- Paper Publication: Author and publish research papers in top-tier conferences and journals to establish thought leadership.
- Code Review & Mentorship: Conduct rigorous code reviews and mentor junior researchers to foster a culture of excellence.
- Hardware Optimization: Collaborate with hardware teams to optimize algorithms for next-generation quantum and edge computing environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: Minimum of 5 years of professional experience in machine learning research or software engineering with a strong focus on AI.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL.
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and derive actionable insights from data.
- Communication: Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.