Job Description
Are you ready to architect the technology that will define the next era of human evolution? Nexus Future Labs is seeking a visionary AI Research Engineer to join our elite team in San Francisco. We are not just building software; we are constructing the infrastructure for a future that doesn't exist yet. In this pivotal role, you will spearhead the development of next-generation Artificial General Intelligence (AGI) systems, pushing the boundaries of what is possible in deep learning and neural architecture search. If you are driven by the challenge of solving unsolved problems and have a passion for the year 2026 and beyond, we want to hear from you.
Responsibilities
- Pioneer the development of next-generation Large Language Models (LLMs) and multimodal architectures targeting 2026 standards.
- Design and optimize scalable, low-latency inference systems capable of processing petabytes of data in real-time.
- Conduct rigorous theoretical research to advance the field of reinforcement learning and autonomous agents.
- Collaborate with cross-functional teams to integrate cutting-edge AI models into consumer-facing products.
- Publish high-impact research papers and present findings at top-tier global conferences.
- Mentor junior researchers and foster a culture of innovation within the engineering department.
Qualifications
- Ph.D. in Computer Science, Mathematics, or a related quantitative field (or equivalent extensive industry experience).
- Proven expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong proficiency in Python and C++ with a deep understanding of distributed computing systems.
- Track record of publishing research in premier venues (NeurIPS, ICML, ICLR, etc.).
- Demonstrated ability to translate theoretical models into production-ready code.