Job Description
We are seeking a visionary AI Research Engineer to architect the technological landscape of 2026 and beyond. At Quantum Leap Systems, we are not just predicting the future; we are building it. You will be at the forefront of developing next-generation generative intelligence, neural-symbolic systems, and scalable inference engines.
In this pivotal role, you will bridge the gap between theoretical research and practical application, ensuring our systems are robust, ethical, and ready for the demands of the coming decade.
Key Highlights:
- Shape the Future: Directly contribute to the roadmap defining 2026 technology standards.
- Global Impact: Work on projects that will redefine human-machine interaction.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits package.
Responsibilities
- Design and implement novel neural network architectures for next-gen AI applications and large language models.
- Research and optimize algorithms for real-time, low-latency inference in production environments.
- Collaborate with product teams to integrate advanced AI capabilities into consumer-facing software.
- Conduct rigorous testing on AI safety, alignment, and adversarial robustness protocols.
- Publish research findings and contribute to the open-source community.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Deep expertise in Machine Learning, Deep Learning frameworks (PyTorch, TensorFlow), and MLOps.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Experience with distributed computing systems (Kubernetes, AWS, GCP) and cloud infrastructure.
- Proven track record of solving complex, unsolved problems in artificial intelligence.