Job Description
Are you ready to architect the future of artificial intelligence? QuantumCore Systems is seeking a visionary Senior AI/ML Engineer to spearhead our 2026 technology roadmap. In this pivotal role, you will define the architecture for next-generation neural networks and large language models, pushing the boundaries of what is possible in generative AI and autonomous systems.
We are not just building software; we are engineering the intelligence layer of the next decade. You will collaborate with world-class researchers and engineers to deploy scalable, robust, and ethically aligned AI solutions that will power our global platform.
Why join us? We offer a competitive salary, equity packages, and a culture that rewards innovation and high performance.
Responsibilities
- Architect & Deploy: Design, train, and deploy state-of-the-art deep learning models, specifically focusing on transformer architectures and reinforcement learning.
- Research & Innovation: Lead research initiatives to explore cutting-edge algorithms for the 2026 tech stack, including optimization of inference speed and model memory efficiency.
- System Optimization: Collaborate with the infrastructure team to build robust MLOps pipelines, ensuring models are scalable and production-ready.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Product Integration: Translate complex technical concepts into scalable product features that drive user engagement and business value.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
- Technical Mastery: Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience: 5+ years of experience in machine learning engineering, with a focus on NLP or Computer Vision.
- Tools: Deep understanding of MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and improve model accuracy significantly.
- Communication: Excellent verbal and written communication skills, capable of presenting technical strategies to stakeholders.