Job Description
About Nexus Future Systems:
We are pioneering the next generation of autonomous infrastructure. As part of our elite '2026 Strategic Initiative,' we are looking for a visionary Senior AI Research Engineer to shape the future of machine learning models.
The Role:
You will be at the forefront of our research, designing scalable neural architectures that push the boundaries of what is possible. This is a high-impact role requiring deep technical expertise and a passion for solving complex, large-scale problems.
Responsibilities
- Lead the research and development of cutting-edge AI models for the 2026 product roadmap.
- Design and implement scalable data pipelines and training infrastructure on cloud platforms.
- Collaborate with cross-functional teams to translate theoretical research into production-ready algorithms.
- Optimize model performance for speed, accuracy, and resource efficiency.
- Stay ahead of industry trends to integrate emerging technologies into our core architecture.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with distributed training systems (e.g., Ray, Kubernetes, Spark).
- Demonstrated ability to publish in top-tier conferences (NeurIPS, ICML, etc.).