Job Description
Nexus Horizon Labs is pioneering the frontier of Artificial General Intelligence (AGI) and future-ready technology. As we accelerate toward our 2026 roadmap, we are seeking a visionary Senior AI Research Engineer to lead the development of scalable, safe, and highly adaptive AI systems. You will be at the helm of building the next generation of intelligent agents, working on problems that will define the future of human-machine interaction.
Why Join Us?
- Future-Forward Impact: Work on the core architecture that will power the 2026 tech ecosystem.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- State-of-the-Art Resources: Access to cutting-edge compute, proprietary datasets, and world-class research facilities.
- Autonomy: Lead research initiatives with high freedom and creative ownership.
Responsibilities
- Architect Next-Gen Models: Design and implement novel neural architectures specifically tailored for AGI capabilities, including reasoning, planning, and multimodal understanding.
- Optimize Training Pipelines: Spearhead the development of efficient training and inference pipelines using distributed computing frameworks (e.g., PyTorch, Ray, Kubernetes).
- Safety & Alignment: Research and implement techniques for RLHF (Reinforcement Learning from Human Feedback) and constitutional AI to ensure robust model alignment.
- Data Strategy: Curate and synthesize large-scale datasets that drive the evolution of autonomous agents.
- Mentorship: Guide junior researchers and engineers, fostering a culture of innovation and technical excellence within the AI division.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Technical Expertise: Deep understanding of Deep Learning, Natural Language Processing (NLP), or Computer Vision with a focus on Transformers and attention mechanisms.
- Programming: Exceptional proficiency in Python, C++, and experience with high-performance computing (HPC) environments.
- Experience: 5+ years of research experience in top-tier tech companies or academic institutions, with a track record of published papers in major AI conferences (NeurIPS, ICML, ICLR).
- Future-Ready Mindset: Proven ability to anticipate emerging trends in AI and apply them to solve complex, ambiguous problems.