Job Description
We are building the foundation for the year 2026. QuantumLeap Systems is seeking a visionary Senior AI Research Engineer to lead our Next-Gen AI initiatives. In this role, you will not only implement state-of-the-art machine learning models but also define the strategic roadmap for emerging technologies that will define the industry landscape in the coming years.
You will be part of a high-performance team focused on Agentic AI, Large Language Models, and autonomous systems. We offer a competitive compensation package and the opportunity to shape the future of technology.
Responsibilities
- Define the 2026 AI Roadmap: Lead the research and development strategy for next-generation AI capabilities, focusing on scalability and futuristic problem-solving.
- Model Development: Design, train, and optimize complex deep learning models, specifically focusing on LLMs and multi-modal systems.
- Prototype & Iterate: Rapidly prototype new algorithms and deploy them to production environments, ensuring high performance and low latency.
- Tech Stack Evaluation: Research and evaluate new frameworks, hardware accelerators, and emerging technologies to keep the company at the forefront of innovation.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Work closely with product managers and engineering leads to translate complex research concepts into practical, user-centric solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior or lead role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing and GPU optimization.
- Domain Knowledge: Deep expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Proven track record of solving ambiguous, complex problems and delivering production-ready code.
- Communication: Excellent ability to communicate technical concepts to both technical and non-technical stakeholders.