Job Description
We are on the cusp of a technological renaissance. At OmniVerse Systems, we are building the operating system for the year 2026 and beyond. We are seeking a visionary Senior AI & Machine Learning Architect to lead our R&D division in designing next-generation neural networks and autonomous systems.
In this role, you will not just write code; you will define the future of human-machine interaction. You will be responsible for the architecture that powers our flagship products, focusing on scalable AI, generative models, and quantum-ready algorithms.
Why Join Us?
- Impactful Work: Shape the trajectory of AI in 2026.
- Top-Tier Compensation: Competitive salary and equity package.
- Future-Proof Tech Stack: Work with the latest in Generative AI and Edge Computing.
Responsibilities
- Lead 2026 Roadmap: Architect and oversee the implementation of the core AI infrastructure scheduled for deployment in 2026.
- Model Development: Design, train, and optimize deep learning models for high-scale production environments.
- Research & Innovation: Explore cutting-edge fields such as Neural Interfaces and Synthetic Data generation.
- System Optimization: Ensure low-latency performance and high availability of AI services.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning Engineering, with at least 2 years in a lead or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- 2026 Vision: Demonstrated ability to work with emerging technologies and adapt to rapidly evolving tech stacks.
- Problem Solving: Exceptional analytical skills with a track record of solving complex algorithmic challenges.