Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Labs is seeking a visionary AI/ML Research Engineer to pioneer the next generation of autonomous agents and generative AI systems. In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our solutions remain at the forefront of the industry.
We are looking for a problem-solver who thrives in a fast-paced, high-performance environment. You will be instrumental in training complex models, optimizing inference pipelines, and shaping the ethical frameworks of our AI products. If you are passionate about the future of artificial intelligence and want to leave a lasting impact on the tech world, we want to hear from you.
Responsibilities
- Research & Development: Design and implement novel deep learning architectures targeting next-generation AI capabilities (2026 standards).
- Model Optimization: Optimize large-scale model training and inference pipelines using distributed computing and GPU clusters.
- Deployment: Deploy and maintain robust AI models in production environments using containerization (Docker/Kubernetes) and cloud infrastructure (AWS/GCP).
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineers to integrate AI solutions into consumer-facing applications.
- Mentorship: Guide junior engineers, conduct technical code reviews, and foster a culture of continuous learning and innovation.
- Documentation: Create comprehensive technical documentation and research papers to share insights with the broader technical community.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence.
- Experience: 3+ years of professional experience in machine learning research or applied AI engineering.
- Programming: Proficiency in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Mathematical Foundation: Strong understanding of linear algebra, calculus, probability, and statistics.
- Cloud & Tools: Experience with cloud platforms (AWS/GCP/Azure) and version control systems (Git).
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.