Job Description
Are you ready to define the technological landscape of the future? At QuantumLeap Industries, we are not just building software; we are architecting the reality of 2026 and beyond.
We are seeking a visionary Next-Gen AI Research Engineer to join our elite R&D division. In this role, you will pioneer breakthroughs in generative AI, autonomous systems, and predictive modeling. If you thrive on solving complex problems and want to leave a legacy in the tech world, this is your opportunity to lead the charge.
As we prepare for the next industrial revolution, we need engineers who can think beyond current constraints. You will work directly with our CTO and lead a team of top-tier data scientists to build the neural networks that will power the next decade of digital innovation.
Responsibilities
- Architect and train cutting-edge Large Language Models (LLMs) tailored for enterprise scalability and 2026-era latency requirements.
- Lead the research and development of next-generation algorithms to solve unsolved problems in neural network efficiency and explainability.
- Collaborate with cross-functional teams of data scientists, software engineers, and product designers to deploy AI solutions.
- Publish high-impact research papers and contribute to open-source communities to push the boundaries of AI.
- Optimize neural network architectures for real-time inference on edge devices and massive distributed clusters.
- Mentor junior engineers and define technical best practices for the AI department.
- Identify emerging trends in AI to keep QuantumLeap at the forefront of industry innovation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Extensive experience with Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of Deep Learning principles, Natural Language Processing (NLP), and Computer Vision.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Strong problem-solving skills with a focus on innovation and "blue sky" thinking.
- Excellent communication skills to translate complex technical concepts for diverse stakeholders.
- Ability to work in a fast-paced, high-stakes environment with a focus on delivery.