Job Description
We are on the precipice of a new era in technology. At Nexus Future Labs, we are not just building for today; we are architecting the intelligence infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in Generative AI and Autonomous Systems.
In this pivotal role, you will bridge the gap between theoretical research and practical application. You will work with a world-class team to develop algorithms that push the boundaries of what is possible, ensuring our solutions remain at the forefront of the industry. If you are passionate about the future of AI and eager to solve complex problems, we want to hear from you.
Responsibilities
- Lead the research and development of next-generation deep learning models, specifically targeting the 2026 technology stack.
- Design and implement scalable algorithms for Natural Language Processing (NLP) and computer vision applications.
- Collaborate with cross-functional teams to translate research findings into production-ready software solutions.
- Author high-impact research papers and patents to establish thought leadership in the AI community.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Optimize model performance for speed and efficiency in high-traffic environments.
- Stay abreast of the latest academic research and industry trends to drive the company's strategic roadmap.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Proven experience (5+ years) in developing and deploying machine learning models at scale.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong background in NLP, LLMs, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.