Job Description
Join the Architects of the Future
Nexus Horizon is pioneering the technological landscape for the 2026 era. We are seeking a visionary Senior AI Research Engineer to lead our next-generation research initiatives. In this role, you will bridge the gap between theoretical breakthroughs and practical applications, defining the core intelligence systems that will power the future.
You will work in a highly collaborative environment with world-class data scientists, engineers, and product designers. If you are passionate about pushing the boundaries of what is possible with artificial intelligence and have a keen eye for the trends that will define 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that shape the future of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Professional development budget for conferences and certifications.
Responsibilities
- Lead Research Initiatives: Spearhead the design and implementation of novel machine learning models and algorithms focused on the 2026 roadmap.
- Model Development: Develop, train, and deploy scalable AI systems using modern frameworks like PyTorch and TensorFlow.
- Technical Strategy: Translate complex business requirements into technical research plans and architecture blueprints.
- Cross-Functional Collaboration: Partner with product teams and stakeholders to integrate AI solutions into consumer and enterprise products.
- Publish & Present: Contribute to high-impact academic papers and present findings at leading industry conferences.
- Code Review: Maintain high standards of code quality and mentor junior engineers and researchers.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- Experience: Minimum of 5+ years of experience in AI/ML research or software engineering with a strong focus on machine learning.
- Technical Skills: Proficiency in Python, deep learning architectures, and natural language processing (NLP) or computer vision (CV).
- Tools: Strong experience with MLOps pipelines, cloud platforms (AWS/GCP/Azure), and version control (Git).
- Innovation: Demonstrated ability to think creatively and solve ambiguous problems in a fast-paced environment.
- Communication: Excellent verbal and written communication skills for technical documentation and presentations.