Job Description
Join Nexus Future Labs in San Francisco as a visionary AI/ML Engineer and help define the technological landscape of 2026. We are building the next generation of artificial intelligence systems that will transform industries. You will work on cutting-edge Large Language Models, neural architectures, and autonomous agents. If you are passionate about pushing the boundaries of what's possible in machine learning and want to lead the charge into the future, this is the opportunity for you.
Responsibilities
- Architect and deploy scalable machine learning models using Python, PyTorch, and TensorFlow.
- Lead research initiatives to improve model accuracy, efficiency, and reduce inference latency for real-time applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Optimize existing neural networks for edge computing environments and large-scale cloud infrastructure.
- Implement rigorous testing and validation pipelines to ensure model robustness and safety.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay ahead of the curve with the latest advancements in Generative AI and Natural Language Processing.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of professional experience in building and deploying production-grade AI/ML systems.
- Strong proficiency in Python and deep frameworks such as PyTorch, TensorFlow, or JAX.
- Proven experience with Large Language Models (LLMs), fine-tuning techniques, and RAG (Retrieval-Augmented Generation).
- Deep understanding of statistics, linear algebra, and optimization algorithms.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.