Job Description
We are building the cognitive infrastructure for the year 2026 and beyond. Nexus Future Labs is seeking a visionary Principal AI Research Engineer to lead our cutting-edge initiatives in Artificial General Intelligence (AGI). In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, safe deployment in the real world. You won't just be writing code; you will define the ethical and technical standards for the next generation of intelligent systems. Join us in shaping a future where AI augments human potential.
Responsibilities
- Lead the research and development of next-generation Large Language Models (LLMs) and multi-modal systems.
- Design and implement novel safety and alignment protocols to ensure AGI systems are robust, unbiased, and trustworthy.
- Architect high-performance inference pipelines capable of handling real-time, massive-scale data streams.
- Collaborate with cross-functional teams of ethicists, safety researchers, and product engineers to translate research into production-ready applications.
- Publish high-impact research papers and present findings at top-tier global conferences (NeurIPS, ICML, etc.).
- Mentor junior researchers and engineers, fostering a culture of innovation and rigorous scientific inquiry.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
- Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
- Proven track record of publishing in prestigious AI conferences or holding patents in machine learning methodologies.
- Demonstrated ability to lead technical projects from conception to deployment in a fast-paced startup environment.
- Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.