Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Research Engineer to spearhead projects that will define the technological landscape of 2026 and beyond. In this role, you won't just maintain the status quo; you will pioneer breakthroughs in Generative AI, Large Language Models, and predictive analytics that solve complex global challenges.
We are looking for a self-starter who thrives in ambiguity and possesses a deep understanding of the mathematical foundations of machine learning. Join our elite research division and help build the systems that will power the next decade of human-computer interaction.
Responsibilities
- Lead high-impact R&D initiatives focused on next-generation AI architectures and algorithmic advancements.
- Design, train, and optimize proprietary machine learning models for real-world deployment at scale.
- Collaborate with cross-functional product teams to translate complex research into scalable engineering solutions.
- Stay at the forefront of industry trends, specifically forecasting and implementing technological shifts relevant to the 2026 roadmap.
- Conduct rigorous performance testing, model interpretability analysis, and ensure fairness and bias mitigation.
- Mentor junior researchers and foster a culture of innovation and scientific excellence within the engineering squad.
- Define technical roadmaps and evaluate emerging technologies for potential integration into core products.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in machine learning research or applied AI engineering.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or patents.
- Strong expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Experience with large-scale distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.