Job Description
Shape the Future of Intelligence.
Nexus 2026 Innovations is pioneering the next generation of generative AI and autonomous systems. We are looking for a visionary Senior AI Research Engineer to lead the development of scalable, high-impact machine learning models that will define the technological landscape of 2026 and beyond. Join us in building the infrastructure for tomorrow's reality.
Why Join Us?
- Work at the intersection of cutting-edge research and real-world application.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art compute infrastructure.
Responsibilities
- Design and implement novel deep learning architectures for large-scale language models and multimodal systems.
- Conduct rigorous research to improve model accuracy, efficiency, and generalization capabilities.
- Collaborate with cross-functional teams including product managers, engineers, and designers to translate research into production-ready features.
- Optimize existing models for inference speed and resource constraints.
- Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and contribute to the open-source community.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of hands-on experience in machine learning research and development.
- Proficiency in Python, PyTorch, and TensorFlow.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Experience deploying models to production environments using cloud services (AWS, GCP, or Azure).
- Exceptional problem-solving skills and the ability to work in a fast-paced, dynamic environment.