Job Description
Nexus Future Systems is pioneering the frontier of Artificial General Intelligence (AGI) and next-generation computing paradigms. We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. In this role, you will define the architectural roadmap for systems that will dominate the technological landscape of 2026 and beyond. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the tools of the future, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects with a competitive compensation package.
- Access to the latest hardware and research infrastructure.
- Collaborate with world-class engineers and data scientists.
Responsibilities
- Lead research and development of novel deep learning architectures and algorithms targeting AGI capabilities.
- Design scalable systems capable of processing petabytes of data in real-time.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Publish high-impact research papers and present findings at leading global conferences.
- Mentor junior researchers and establish technical best practices for the engineering department.
- Optimize model performance for speed, accuracy, and energy efficiency.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
- Extensive experience with Python, PyTorch, or TensorFlow.
- Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks.