Job Description
We are pioneering the future of artificial intelligence, and we are looking for a visionary AI Research Scientist to join our 2026 Strategic Roadmap team. In this pivotal role, you will define the technical trajectory of our autonomous systems, pushing the boundaries of what is possible in Generative AI and Predictive Modeling.
At Nexus Horizon AI, we don't just build software; we architect the next decade of human-machine interaction. You will lead high-impact research initiatives designed to solve complex problems in real-time decision-making and cognitive computing. If you are passionate about shaping the AI landscape and are ready to commit to the long-term vision of 2026, we want to hear from you.
Why Join Us?
- Work on cutting-edge, long-term research projects.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a collaborative office environment.
Key Responsibilities:
Responsibilities
- Lead Strategic Research: Spearhead long-term research initiatives specifically aligned with our 2026 technological roadmap, focusing on next-gen Neural Networks and NLP.
- Prototype Development: Design, build, and test proof-of-concept models for autonomous agents and adaptive learning systems.
- Technical Leadership: Mentor junior researchers and engineers, fostering a culture of innovation and rigorous scientific inquiry.
- System Integration: Collaborate with the engineering team to translate theoretical models into scalable, production-ready software solutions.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI safety, transparency, and bias mitigation in future deployments.
- Publication & IP: Author high-impact research papers and secure patents for novel algorithms and architectures.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: Minimum of 5 years of hands-on experience in deep learning, natural language processing, or computer vision.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Ray).
- Strategic Vision: Demonstrated ability to think long-term and align technical research with business objectives and futuristic milestones.
- Problem Solving: Strong analytical skills with a track record of solving complex, open-ended technical challenges.
- Communication: Excellent verbal and written communication skills for presenting complex research to diverse stakeholders.