Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Quantum Core Systems is seeking a visionary Senior AI/ML Architect to lead our elite research division. We are not just building software; we are engineering the future of human-machine symbiosis.
In this pivotal role, you will define the architectural blueprints for next-generation neural networks, generative AI systems, and autonomous agents. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade infrastructure.
Our commitment to the future: We are a remote-first company investing heavily in long-term AI research, offering top-tier equity and a culture that rewards radical innovation.
Responsibilities
- Design and implement scalable AI architectures capable of processing exabyte-scale data streams in real-time.
- Lead the research and deployment of Large Language Models (LLMs) and multimodal AI systems tailored for enterprise applications.
- Define the technical roadmap for our 2026 product releases, ensuring our infrastructure is future-proof.
- Optimize model inference for edge devices and distributed cloud environments to maximize efficiency and accuracy.
- Collaborate with product strategists to translate futuristic concepts into actionable technical requirements.
- Mentor and cultivate a high-performing team of data scientists and ML engineers.
- Stay at the bleeding edge of emerging technologies, including Neuromorphic computing and Quantum AI integration.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in Machine Learning Engineering, with at least 3 years in a senior architectural leadership role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Proven experience deploying large-scale ML models serving millions of users with high availability.
- Strong understanding of MLOps, model versioning, and automated CI/CD pipelines for machine learning.
- Exceptional problem-solving skills with a focus on system design and scalability.
- Ability to communicate complex technical strategies to diverse stakeholders effectively.