Job Description
Are you ready to architect the future?
Nexus Future Systems is at the forefront of the 2026 Horizon Initiative. We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation autonomous systems. In this pivotal role, you will define the technical roadmap for our AI infrastructure, ensuring scalability, efficiency, and ethical alignment as we prepare for the rapid evolution of the 2026 technological landscape.
We offer a competitive compensation package, including equity, comprehensive health benefits, and the opportunity to work with a world-class team of engineers and researchers.
Responsibilities
- Lead the research and development of state-of-the-art deep learning models tailored for the 2026 timeline.
- Architect scalable neural network infrastructure capable of processing petabyte-scale datasets.
- Collaborate with product leadership to translate complex 2026 strategic goals into technical roadmaps.
- Optimize model inference speeds and reduce latency for real-time applications.
- Mentor junior researchers and drive technical best practices within the engineering team.
- Stay ahead of emerging trends in Generative AI and Quantum Computing integration.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 5+ years of experience in designing and deploying large-scale machine learning systems.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).
- Demonstrated ability to publish high-impact research in top-tier conferences (NeurIPS, ICML, ICLR).