Job Description
Are you ready to architect the future of artificial intelligence? Nexus Innovation Labs is seeking a visionary Senior AI Research Engineer to spearhead the development of next-generation neural networks and autonomous systems. In this role, you will define the technical roadmap for our 2026 and beyond product portfolio, working at the intersection of deep learning, robotics, and generative AI.
Why Join Us?
We are building the infrastructure for the 2026 era of computing. You will have the autonomy to experiment with bleeding-edge technologies, mentor a team of elite engineers, and directly impact how the world interacts with AI.
Responsibilities
- Lead Research: Spearhead the design and implementation of novel deep learning models targeting deployment by 2026.
- Technical Strategy: Define the technical vision for our AI research initiatives, ensuring scalability and ethical AI standards.
- Prototyping: Build rapid prototypes of generative AI agents and predictive analytics engines.
- Collaboration: Partner with cross-functional teams (product, engineering, and design) to translate research into production-ready solutions.
- Mentorship: Guide and mentor junior researchers and software engineers, fostering a culture of innovation and continuous learning.
- Publication: Contribute to top-tier academic conferences and industry journals to establish thought leadership.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in machine learning research, with at least 2 years in a lead or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with data-driven approaches.
- Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.