Job Description
Are you ready to define the future of Artificial Intelligence?
QuantumLeap Technologies is seeking a visionary Senior AI Research Engineer to join our exclusive 2026 Cohort. In this pivotal role, you will lead the development of next-generation generative models designed to revolutionize enterprise automation and cognitive computing.
We are not just looking for a coder; we are looking for a pioneer to architect the neural architectures of tomorrow. You will work in a state-of-the-art facility, pushing the boundaries of what is possible with Large Language Models (LLMs) and multimodal AI systems.
QuantumLeap Technologies is seeking a visionary Senior AI Research Engineer to join our exclusive 2026 Cohort. In this pivotal role, you will lead the development of next-generation generative models designed to revolutionize enterprise automation and cognitive computing.
We are not just looking for a coder; we are looking for a pioneer to architect the neural architectures of tomorrow. You will work in a state-of-the-art facility, pushing the boundaries of what is possible with Large Language Models (LLMs) and multimodal AI systems.
Responsibilities
- Architect and train large-scale neural networks capable of processing complex multimodal data streams.
- Lead high-impact research initiatives focused on the advancement of Artificial General Intelligence (AGI).
- Collaborate with cross-functional engineering teams to integrate cutting-edge models into scalable, production-grade environments.
- Publish high-visibility research papers and contribute to global open-source communities.
- Mentor junior researchers and define technical roadmaps for the 2026 innovation cycle.
- Optimize model inference for latency and cost-efficiency in cloud-native infrastructures.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- 5+ years of experience in deep learning frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, ACL).
- Strong proficiency in Python, C++, and distributed systems architecture.
- Exceptional problem-solving skills with a focus on theoretical abstraction and practical application.
- Ability to thrive in a fast-paced, experimental, and high-stakes environment.