Job Description
We are building the future of synthetic intelligence. Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead the development of our next-generation autonomous systems. As part of our elite 'Project 2026' initiative, you will define the architectural blueprint for the next decade of machine learning evolution.
In this role, you will not just write code; you will define the paradigm of how AI interacts with the physical and digital world. You will lead a high-performing team of researchers and engineers, pushing the boundaries of what is possible in generative modeling and reinforcement learning.
Responsibilities
- Architect Scalable AI Solutions: Design and implement robust, high-performance neural network architectures capable of handling petabyte-scale data streams.
- Lead R&D Initiatives: Spearhead research into cutting-edge methodologies, including Large Language Models (LLMs) and Transformer variants.
- Mentorship: Guide a diverse team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimization: Drive performance optimization strategies to ensure real-time inference and minimal latency in deployed models.
- Cross-Functional Collaboration: Partner with product managers and security experts to integrate AI capabilities seamlessly into our ecosystem.
- Paper Publication: Author and present technical papers at top-tier AI conferences (NeurIPS, ICML) to establish our industry leadership.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Experience: 7+ years of professional experience in machine learning engineering, including 3+ years in a leadership or architect role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Algorithmic Expertise: Strong understanding of deep learning algorithms, natural language processing (NLP), and computer vision.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.