Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI Research Engineer to spearhead the development of our next-generation Large Language Models and autonomous agent systems. If you are passionate about pushing the boundaries of artificial general intelligence (AGI) and want to build the core infrastructure of the future, we want to hear from you.
In this role, you will lead high-impact research initiatives, mentor a team of elite engineers, and deploy models that power the next evolution of human-computer interaction. You will work in a fast-paced, elite environment with top-tier talent.
Responsibilities
- Lead the architecture and training of proprietary Large Language Models (LLMs) designed for 2026 scalability and efficiency.
- Optimize neural network architectures and inference pipelines to reduce latency and improve throughput in real-time applications.
- Design and implement novel reinforcement learning algorithms to enhance model safety and alignment with human values.
- Collaborate with cross-functional teams to integrate AI models into consumer-facing products and enterprise solutions.
- Establish and enforce best practices for code quality, reproducibility, and ethical AI deployment.
- Present research findings and technical roadmaps to executive leadership and stakeholders.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, with a focus on Machine Learning or Deep Learning.
- 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or lead capacity.
- Deep expertise in PyTorch, TensorFlow, or JAX, and experience training models from scratch.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or deploying production-grade AI systems.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps pipelines.
- Experience with prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) architectures.