Job Description
Join the Architects of Tomorrow.
Nexus Horizon Systems is at the forefront of defining the technological landscape for the 2026 era. We are seeking a visionary Senior AI Research Engineer to lead our advanced R&D initiatives. In this pivotal role, you will bridge the gap between theoretical artificial intelligence and practical, scalable solutions that solve complex global challenges.
As we prepare for the rapid evolution of AI in 2026, we need a leader who can navigate the intersection of Generative AI, Ethical Machine Learning, and Quantum Computing integration. If you are passionate about pushing the boundaries of what is possible and shaping the future of technology, we want to hear from you.
Why Nexus Horizon?
- Work on cutting-edge projects that define industry standards.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to top-tier tech infrastructure.
Responsibilities
- Lead 2026 Roadmap Initiatives: Architect and direct the research strategy for next-generation AI models, specifically focusing on scalability and sustainability by 2026.
- Model Development: Design, train, and optimize deep learning models using state-of-the-art architectures including Transformers and Diffusion models.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Engineering: Ensure deployed models meet high standards for inference speed, accuracy, and resource efficiency.
- Ethical AI Oversight: Implement and enforce rigorous guidelines for data privacy, bias mitigation, and responsible AI deployment.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex research into market-ready products.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 7+ years of professional experience in AI/ML engineering, with a proven track record of deploying production-level models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- 2026 Readiness: Demonstrated experience with MLOps pipelines and the integration of AI into edge computing environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Language: Fluent in English; proficiency in additional languages is a plus.