Job Description
We are seeking a visionary Lead AI Engineer to join our elite team in New York City.
As we prepare for the technological leap into 2026, we are building the infrastructure for the next generation of Generative AI and Autonomous Systems. You will be at the forefront of innovation, designing scalable machine learning models that redefine user interaction and operational efficiency.
At Nexus Future Systems, we don't just predict the future; we engineer it. If you have a passion for pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and are looking for a challenge that defines your career, apply today.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) optimized for low-latency inference in production environments.
- Lead a cross-functional squad of data scientists and software engineers to translate cutting-edge research into scalable, production-ready applications.
- Design robust MLOps pipelines to ensure model reliability, continuous learning, and automated retraining cycles.
- Conduct rigorous research into novel neural architectures, focusing on ethical AI, safety, and explainability.
- Collaborate with product leadership to define the strategic roadmap for 2026 features and product integrations.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field with a focus on AI.
- 5+ years of professional experience in machine learning engineering, specifically with Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, Deep Learning, and Reinforcement Learning algorithms.
- Proven track record of shipping high-scale ML products to market and improving model performance.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).