Job Description
Are you ready to architect the intelligent systems of tomorrow? 2026 Innovations is at the forefront of next-generation artificial intelligence, and we are seeking a visionary Senior AI Engineer to join our elite team in San Francisco.
We are building the infrastructure that will define the technological landscape of the coming decade. You will work on cutting-edge Large Language Models (LLMs), generative AI architectures, and predictive analytics systems designed to solve complex, real-world problems. This is a rare opportunity to shape the future of technology while working in a high-performance, remote-first environment.
If you are passionate about pushing the boundaries of what is possible with code and data, this is your chance to leave a lasting legacy in the tech industry.
Responsibilities
Architect and deploy scalable machine learning models and neural networks using Python and PyTorch.Collaborate with cross-functional teams of data scientists, backend engineers, and product managers to define AI product requirements.Optimize existing models for latency, accuracy, and inference speed in production environments.Research and implement state-of-the-art algorithms in the AI space, keeping abreast of the latest academic and industry trends.Conduct rigorous code reviews and mentor junior engineers on best practices, architecture, and MLOps.Ensure data privacy, security compliance, and ethical AI standards in all AI deployments.Design and maintain CI/CD pipelines for automated model training and evaluation.
Qualifications
PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.5+ years of professional experience in AI/ML engineering, with a strong focus on Deep Learning.Proficiency in Python, TensorFlow, PyTorch, or JAX.Strong understanding of MLOps, containerization (Docker/Kubernetes), and cloud infrastructure (AWS/GCP/Azure).Experience with vector databases, LLM fine-tuning, and RAG architectures.Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.