Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Lead AI Research Engineer to spearhead our quantum-forward artificial intelligence initiatives.
In this pivotal role, you will bridge the gap between theoretical computer science and practical application, focusing on scalable machine learning models that operate at the edge of current technological capabilities. We are not just building software; we are architecting the future of intelligence.
Why Join Us?
- Work on cutting-edge research that will shape the next decade.
- Competitive equity and salary packages.
- Flexible remote-first culture with quarterly global meetups.
Responsibilities
- Research and develop novel algorithms for next-gen AI systems, specifically targeting the 2026 technological roadmap.
- Lead a team of data scientists and machine learning engineers to implement scalable ML pipelines.
- Collaborate with quantum computing experts to optimize neural networks for hybrid processing environments.
- Publish high-impact research papers and present findings at leading global conferences.
- Optimize model inference speeds for deployment in resource-constrained environments.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 5+ years of experience in AI/ML research, with at least 2 years in a leadership or senior engineering role.
- Deep expertise in Python, PyTorch, and TensorFlow frameworks.
- Experience with quantum computing libraries (Qiskit, Cirq) or large language models (LLMs) is a major plus.
- Strong publication record in top-tier venues (NeurIPS, ICML, CVPR, etc.).