Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Research Engineer to pioneer the next generation of artificial intelligence systems.
In this role, you won't just be maintaining legacy systems; you will be architecting the future. We are building the autonomous agents and neural interfaces that will define the human-machine relationship a decade from now.
Why Join Us?
- Work on cutting-edge, high-impact projects directly influencing the 2026 roadmap.
- Competitive equity package and top-tier salary.
- Flexible remote-first culture with global collaboration.
Role Overview:
We are looking for a thought leader who thrives in ambiguity and can translate theoretical breakthroughs into tangible products. You will be at the forefront of Generative AI, Reinforcement Learning, and Ethical AI implementation.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for next-generation NLP and Computer Vision models aimed at the 2026 market.
- Lead research initiatives aimed at achieving AGI milestones and autonomous agent capabilities.
- Collaborate with cross-functional teams to integrate complex AI models into scalable production environments.
- Publish seminal research papers in top-tier AI conferences (NeurIPS, ICML, etc.).
- Ensure ethical AI practices, bias mitigation, and safety protocols in all model deployments.
- Mentor junior engineers and research scientists in advanced machine learning techniques.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in Deep Learning and Machine Learning engineering.
- Proficiency in Python, PyTorch, and TensorFlow with deep knowledge of model optimization.
- Strong understanding of Transformer models, Reinforcement Learning, and Distributed Systems.
- Demonstrated track record of publishing in top-tier venues.
- Experience with Large Language Models (LLMs) and fine-tuning strategies.