Job Description
Are you ready to architect the future of intelligence? Nexus Future Labs is pioneering the next generation of Artificial General Intelligence (AGI) technologies designed for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D team in San Francisco. In this role, you will move beyond traditional machine learning, working on cutting-edge neural architectures, quantum-inspired algorithms, and autonomous systems that define the technological landscape of tomorrow.
We offer a competitive compensation package, remote-first flexibility, and the opportunity to work with state-of-the-art hardware and proprietary frameworks. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.
Responsibilities
- Design and implement scalable neural network architectures for autonomous decision-making systems.
- Optimize large language models (LLMs) for low-latency inference on edge devices and quantum processors.
- Conduct cutting-edge research to integrate generative AI with predictive analytics for real-time market forecasting.
- Collaborate with cross-functional teams to deploy AI solutions that enhance user experiences in futuristic digital environments.
- Establish best practices for data governance, model explainability, and ethical AI deployment.
- Mentor junior engineers and contribute to the technical roadmap for our 2026 product suite.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred for senior roles).
- Minimum of 5 years of professional experience in Machine Learning, Deep Learning, or AI research.
- Proficiency in Python, C++, and Rust; experience with PyTorch, TensorFlow, or JAX.
- Deep understanding of Transformer models, Reinforcement Learning, and Graph Neural Networks.
- Experience deploying AI models in production environments using Kubernetes and cloud infrastructure (AWS/GCP).
- Strong background in mathematical optimization and statistical analysis.