Job Description
Are you ready to define the landscape of Artificial Intelligence for the year 2026? Nexus Horizon AI is seeking a visionary Senior AI & Machine Learning Engineer to lead our next-generation research initiatives. We are building the infrastructure that will power the autonomous intelligent systems of tomorrow, and we need a technical expert to turn ambitious concepts into scalable reality.
In this role, you will not just write code; you will architect the future. You will work at the intersection of Generative AI, Large Language Models, and ethical AI deployment. If you are passionate about pushing the boundaries of what is possible and thrive in a fast-paced, innovative environment, we want to hear from you.
Why Join Us?
- Impactful Work: Your algorithms will be used by millions, shaping the future of human-computer interaction.
- Top-Tier Compensation: Competitive salary and equity package.
- Future-Ready Culture: We are a remote-first team focused on the long-term vision of AI evolution.
Responsibilities
- Design, develop, and deploy cutting-edge Machine Learning models and algorithms to solve complex business problems.
- Lead research initiatives focused on Generative AI, NLP, and Computer Vision, anticipating trends for 2026 and beyond.
- Optimize existing neural network architectures for high-performance inference on edge devices.
- Collaborate closely with product and engineering teams to integrate AI solutions seamlessly into our ecosystem.
- Establish best practices for data governance, model monitoring, and ethical AI usage.
- Contribute to the technical roadmap, identifying new technologies that drive competitive advantage.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Strong proficiency in programming languages such as Python, C++, and PyTorch or TensorFlow.
- Deep understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
- Proven track record of shipping production-grade ML models with measurable business impact.
- Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.