Job Description
We are seeking a visionary Senior Artificial Intelligence Engineer to drive our 2026 roadmap. At Nexus Horizon Labs, we are not just building software; we are architecting the future of sentient machine interaction and scalable intelligence. You will lead the charge in designing neural architectures that push the boundaries of what is possible in generative AI and predictive analytics.
Join a culture of innovation where your code shapes the trajectory of the next decade. We offer competitive equity packages, cutting-edge hardware, and the autonomy to define technical standards for a rapidly evolving industry.
Why Join Us?
- Work on projects that define the standard for the 2026 tech landscape.
- Access to state-of-the-art GPU clusters and quantum research facilities.
- Flexible remote-first policy with premium NYC office amenities.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models for large-scale enterprise applications.
- Lead the architecture of MLOps pipelines to ensure model scalability and reproducibility.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product roadmaps.
- Research and implement novel algorithms to improve model accuracy and reduce latency.
- Ensure ethical AI practices and compliance with global data regulations.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven experience deploying AI models into production environments using cloud infrastructure (AWS, GCP, or Azure).
- Deep understanding of neural network architectures, optimization techniques, and big data processing.
- Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.