Job Description
Shape the Future of Intelligence
Nexus Horizon Labs is at the forefront of the 2026 AI revolution. We are seeking a visionary Senior AI Engineer to lead the development of next-generation generative models and autonomous systems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build solutions that define the future, we want to meet you.
Why Join Us?
• Work with state-of-the-art technology and cutting-edge hardware.
• Competitive compensation package and equity options.
• Flexible remote-first culture with a focus on innovation.
Role Overview
As a Senior AI Engineer, you will be responsible for designing, training, and deploying scalable machine learning models that drive our core product offerings. You will work closely with cross-functional teams of data scientists, researchers, and product managers to translate complex business requirements into robust AI solutions.
Responsibilities
- Design and implement advanced deep learning architectures for Natural Language Processing (NLP) and Computer Vision.
- Optimize model inference speeds and reduce latency for real-time applications.
- Build and maintain robust MLOps pipelines to ensure model reproducibility and deployment.
- Conduct research on novel algorithms to stay ahead of industry trends and benchmarks.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Evaluate and select appropriate datasets and tools to maximize model performance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in AI/ML, with at least 2 years in a senior leadership role.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer models, fine-tuning strategies, and LLMs.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.