Job Description
Are you ready to define the future of intelligence?
Nexus Future Labs is seeking a visionary Senior AI Research Engineer to spearhead breakthroughs in Artificial General Intelligence (AGI) and Quantum Neural Networks. As we look toward 2026, we are building the infrastructure that will define the next decade of human-machine interaction. If you thrive in high-pressure environments and want to solve the hardest problems in machine learning, this is your opportunity to lead.
Why Join Us?
- Work on cutting-edge models that push the boundaries of what is possible.
- Competitive salary and equity packages.
- Flexible remote-first culture with a vibrant SF hub.
Responsibilities
- Lead the research and development of next-generation neural network architectures optimized for 2026 computing standards.
- Design and implement scalable algorithms for large-scale language models and generative AI systems.
- Collaborate with cross-functional teams of physicists and data scientists to integrate quantum computing principles into deep learning frameworks.
- Mentor junior engineers and PhD researchers, fostering a culture of innovation and technical excellence.
- Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR).
- Optimize model inference and training pipelines to reduce latency and improve energy efficiency.
- Stay ahead of industry trends, specifically focusing on autonomous agents and multimodal learning systems.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- 5+ years of experience in deep learning, natural language processing, or reinforcement learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong mathematical background in linear algebra, calculus, and probability theory.
- Experience with distributed training and GPU acceleration (CUDA).
- Demonstrated ability to publish novel research and contribute to open-source communities.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.