Job Description
Shape the Future of Intelligence
At Nexus Future Systems, we are not just building software for today; we are architecting the Artificial General Intelligence (AGI) landscape for the year 2026 and beyond. We are seeking visionary AI Research Engineers to lead the next generation of reasoning models, multimodal systems, and safe AI deployments.
Join a team of world-class researchers dedicated to solving the hardest problems in machine learning, from recursive self-improvement to ethical alignment in autonomous systems.
Responsibilities
- Architect Next-Gen Models: Design and implement state-of-the-art deep learning architectures tailored for 2026-scale scalability and efficiency.
- Reinforcement Learning Research: Spearhead the development of advanced RLHF (Reinforcement Learning from Human Feedback) pipelines to align AI with human values.
- Distributed Training: Optimize large-scale distributed training clusters to handle petabyte-scale datasets.
- Model Safety & Alignment: Proactively identify and mitigate potential risks associated with autonomous systems and generative AI outputs.
- Technical Leadership: Mentor junior researchers and collaborate with cross-functional engineering teams to integrate research breakthroughs into production.
Qualifications
- Advanced Degree: PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in machine learning, NLP, or Computer Vision.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of publishing at top-tier conferences (NeurIPS, ICML, ICLR).
- Algorithm Development: Strong background in optimization, statistics, and high-dimensional data analysis.
- Future-Forward Mindset: Ability to think abstractly about system boundaries and future technological paradigms (e.g., quantum-augmented ML).