Job Description
Are you ready to architect the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Senior AI Research Engineer to lead our next-generation initiative. We are building the foundational models that will define the future of human-machine interaction, and we need a pioneer to push the boundaries of what is possible today.
In this role, you will not just implement existing algorithms; you will design novel architectures capable of handling the complexity of the year 2026 and beyond. Join a team of elite engineers and researchers dedicated to solving humanity's most complex challenges through the power of artificial intelligence.
Why Join Us?
- Work on cutting-edge projects with global impact.
- Competitive compensation package including equity.
- Flexible remote-first policy with a hub in San Francisco.
- Access to the latest hardware and computational resources.
Responsibilities
- Lead the design and implementation of advanced machine learning models tailored for 2026 scalability and efficiency.
- Conduct rigorous research to pioneer new paradigms in Generative AI and Natural Language Processing.
- Collaborate with cross-functional teams to translate theoretical research into deployable, production-grade software.
- Establish best practices for model interpretability, ethics, and bias mitigation in AI systems.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Analyze complex datasets to drive actionable insights and optimize system performance in real-time environments.
- Present research findings to stakeholders and technical communities to shape the future roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in machine learning research or applied AI engineering.
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
- Strong foundation in statistical modeling, deep learning architectures, and optimization techniques.
- Demonstrated ability to publish in top-tier conferences (e.g., NeurIPS, ICML, ACL).
- Excellent problem-solving skills and a proactive approach to technical challenges.
- Experience with cloud infrastructure (AWS, GCP) and MLOps pipelines.