Job Description
Welcome to QuantumLeap Systems, a leader in futuristic technology innovation. We are building the infrastructure for the 2026 era of artificial intelligence, and we are seeking a visionary Senior AI/ML Research Engineer to join our elite R&D division.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will be instrumental in defining our roadmap for the upcoming years, pushing the boundaries of generative models and predictive analytics. If you are passionate about the future of tech and want to leave a legacy in 2026, we want to hear from you.
Responsibilities
- Lead the research and development of cutting-edge neural network architectures for the 2026 product roadmap.
- Design, train, and deploy large-scale machine learning models with a focus on efficiency and accuracy.
- Collaborate with cross-functional teams to translate complex research into production-ready APIs and products.
- Conduct rigorous experimentation and benchmarking to optimize model performance in real-world scenarios.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 AI landscape.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Proven experience (5+ years) in building and deploying production-grade machine learning models using PyTorch, TensorFlow, or JAX.
- Deep understanding of deep learning principles, including Transformers, GANs, and Reinforcement Learning.
- Strong proficiency in Python, C++, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Experience with MLOps tools and cloud platforms (AWS, GCP, or Azure) for model lifecycle management.
- Exceptional problem-solving skills and the ability to work in a fast-paced, high-stakes environment.