Job Description
At Nexus Future Labs, we are not just building software; we are architecting the intelligence of tomorrow. As we look towards 2026, we are seeking a visionary AI Research Engineer to spearhead the development of next-generation Large Language Models and Autonomous Agents. You will work in a high-performance environment focused on scalability, safety, and breakthrough performance.
We offer a competitive compensation package, equity options, and the chance to work on projects that will define the technological landscape of the coming decade.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for 2026-ready systems.
- Conduct cutting-edge research in Natural Language Processing (NLP) and Reinforcement Learning.
- Collaborate with product teams to translate theoretical research into scalable production models.
- Mentor junior researchers and engineers on best practices in AI engineering.
- Optimize model inference for low-latency edge deployment in distributed systems.
- Publish findings in top-tier conferences to establish thought leadership.
Qualifications
- PhD or MS in Computer Science, Mathematics, or a related field.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep experience with Transformer architectures and Attention mechanisms.
- Proven track record of published research in top-tier AI conferences (NeurIPS, ICML, ACL).
- Experience with large-scale distributed training frameworks (Horovod, DeepSpeed).