Job Description
We are seeking a visionary Senior AI Architect (2026 Edition) to lead our next-generation machine learning initiatives. Nexus Innovations is building the foundational infrastructure for the future of autonomous systems and generative intelligence. If you thrive in fast-paced environments and are obsessed with pushing the boundaries of what is possible with Large Language Models (LLMs), Neural Networks, and Quantum-inspired computing, this is your chance to define the standard for the 2026 era.
Why Join Us?
- Shape the Future: Work on projects that will define the tech landscape of 2026 and beyond.
- Top-Tier Compensation: Competitive base salary, performance bonuses, and significant equity package.
- Flexibility: Hybrid work model with the option to work from our San Francisco HQ or remotely.
- Impact: Directly influence the architecture of core products used by millions.
The Role:
As an AI Architect, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing scalable neural networks, optimizing inference pipelines for high-traffic environments, and establishing best practices for MLOps within our growing engineering team.
Responsibilities
- Architect and deploy scalable deep learning models using PyTorch and TensorFlow optimized for edge devices.
- Lead the design and implementation of the 2026 AI Stack, ensuring scalability, security, and efficiency.
- Optimize model performance for inference speed and resource consumption.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to integrate AI solutions into consumer products.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Research and evaluate emerging technologies to keep our stack ahead of the curve.
Qualifications
- 5+ years of experience in Machine Learning Engineering or AI Research roles.
- Strong proficiency in Python, SQL, and distributed systems (Kubernetes, Docker).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning algorithms.
- Experience with MLOps tools (MLflow, Airflow, Sagemaker).
- Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Exceptional problem-solving skills and a passion for innovation.